Output example for a bootstrapping analysis conducted with the ResIN package.
Source:R/Boostrap_example.R
Bootstrap_example.RdOutput example for a bootstrapping analysis conducted with the ResIN package.
Usage
data(Bootstrap_example)Examples
data(Bootstrap_example)
str(Bootstrap_example)
#> List of 150
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 343 obs. of 7 variables:
#> .. ..$ from : chr [1:343] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:343] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:343] 0.12467 0.00166 0.04019 0.15338 0.08877 ...
#> .. ..$ from.x: num [1:343] 2.17 2.17 2.17 2.17 2.17 ...
#> .. ..$ from.y: num [1:343] 0.833 0.833 0.833 0.833 0.833 ...
#> .. ..$ to.x : num [1:343] 4.24 -3.07 2.51 2.76 5.29 ...
#> .. ..$ to.y : num [1:343] 0.938 0.456 -1.871 -0.199 0.296 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.17 4.3 1.48 4.46 -7.97 ...
#> .. ..$ y : num [1:40] 0.833 -2.212 0.478 -1.079 -0.348 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.167 0.905 0.772 0.914 0.328 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 1 1 1 0 1 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 1 1 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 1 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 1 0 1 0 0 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 0 0 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 0 0 0 0 1 1 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 1 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 0 0 0 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 1 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 1 1 0 0 0 0 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 1 1 0 0 0 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 1 1 0 0 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 345 obs. of 7 variables:
#> .. ..$ from : chr [1:345] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:345] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:345] 0.20297 0.16558 0.27649 0.16965 0.00786 ...
#> .. ..$ from.x: num [1:345] 3.71 3.71 3.71 3.71 3.71 ...
#> .. ..$ from.y: num [1:345] 0.22 0.22 0.22 0.22 0.22 ...
#> .. ..$ to.x : num [1:345] 4.72 3.9 3.72 4.93 -3.37 ...
#> .. ..$ to.y : num [1:345] 0.34 -1.425 -0.507 1.35 0.51 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.71 4.43 1.81 1.18 -9.29 ...
#> .. ..$ y : num [1:40] 0.22 -0.753 1.463 -0.579 -0.433 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.879 1.06 0.714 0.565 0.352 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 1 0 1 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 1 0 0 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 1 0 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 1 0 0 1 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 1 1 1 1 0 0 1 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 0 0 0 0 1 1 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 1 0 1 1 0 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 0 0 0 1 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 346 obs. of 7 variables:
#> .. ..$ from : chr [1:346] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:346] "equalize_incomes_-" "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:346] 0.01478 0.18331 0.00174 0.22428 0.16184 ...
#> .. ..$ from.x: num [1:346] 2.76 2.76 2.76 2.76 2.76 ...
#> .. ..$ from.y: num [1:346] 0.169 0.169 0.169 0.169 0.169 ...
#> .. ..$ to.x : num [1:346] 1.81 4.73 3.06 3.36 4.84 ...
#> .. ..$ to.y : num [1:346] -0.823 -1.048 2.176 -0.278 -0.488 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.76 1.28 1.9 4.6 -8.54 ...
#> .. ..$ y : num [1:40] 0.169 -1.928 0.505 1.709 0.431 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.135 0.964 0.627 0.839 0.25 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 1 1 1 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 1 0 1 1 1 1 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 1 0 1 1 1 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 1 0 0 0 1 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 1 1 1 1 1 1 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 1 1 1 1 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 1 1 0 0 1 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 1 1 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 1 1 1 0 1 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 340 obs. of 7 variables:
#> .. ..$ from : chr [1:340] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:340] "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_--" "welfare_spending_-" ...
#> .. ..$ weight: num [1:340] 0.3299 0.2345 0.1159 0.0665 0.07 ...
#> .. ..$ from.x: num [1:340] 3.7 3.7 3.7 3.7 3.7 ...
#> .. ..$ from.y: num [1:340] 1.8 1.8 1.8 1.8 1.8 ...
#> .. ..$ to.x : num [1:340] 5.85 3.18 5.87 3.61 6.32 ...
#> .. ..$ to.y : num [1:340] 1.438 0.838 -0.219 0.367 0.53 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.7 5.12 2.2 3.13 -9.57 ...
#> .. ..$ y : num [1:40] 1.802 -1.203 0.169 -2.312 0.292 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.053 1.019 0.651 0.75 0.299 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 0 0 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 1 0 1 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 1 0 1 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 1 1 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 0 0 0 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 1 1 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 1 1 0 0 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 1 0 0 1 1 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 1 0 1 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 1 0 0 0 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 351 obs. of 7 variables:
#> .. ..$ from : chr [1:351] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:351] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:351] 0.1917 0.1071 0.2277 0.1463 0.0513 ...
#> .. ..$ from.x: num [1:351] 3.32 3.32 3.32 3.32 3.32 ...
#> .. ..$ from.y: num [1:351] 0.658 0.658 0.658 0.658 0.658 ...
#> .. ..$ to.x : num [1:351] 4.62 3.93 3.43 5.74 1.97 ...
#> .. ..$ to.y : num [1:351] -1.093 2.784 -0.158 -0.828 0.434 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.32 3.8 1.29 4.82 -9.57 ...
#> .. ..$ y : num [1:40] 0.658 -1.965 -0.56 0.758 -0.324 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.912 1 0.661 0.917 0.289 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 1 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 1 0 0 1 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 0 1 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 0 0 1 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 1 0 1 1 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 0 0 0 1 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 1 0 0 1 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 0 1 1 1 0 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 0 1 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 0 0 1 0 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 0 0 1 1 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 0 0 1 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 341 obs. of 7 variables:
#> .. ..$ from : chr [1:341] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:341] "equalize_incomes_-" "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:341] 0.0525 0.1621 0.0401 0.095 0.1941 ...
#> .. ..$ from.x: num [1:341] 2.95 2.95 2.95 2.95 2.95 ...
#> .. ..$ from.y: num [1:341] 1.35 1.35 1.35 1.35 1.35 ...
#> .. ..$ to.x : num [1:341] 3.47 4.81 2.97 3.01 5.79 ...
#> .. ..$ to.y : num [1:341] -0.7742 0.835 2.0646 -0.3118 -0.0129 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.945 4.945 0.878 4.49 -8.83 ...
#> .. ..$ y : num [1:40] 1.347 -0.725 -0.591 -1.808 0.505 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.179 1.045 0.745 1.182 0.335 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 0 1 1 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 1 1 0 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 1 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 0 1 0 0 0 1 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 1 1 0 0 1 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 0 1 1 1 1 0 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 1 0 1 0 0 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 1 1 1 1 0 1 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 1 1 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 347 obs. of 7 variables:
#> .. ..$ from : chr [1:347] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:347] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:347] 0.2717 0.1193 0.2032 0.2043 0.0193 ...
#> .. ..$ from.x: num [1:347] 3.9 3.9 3.9 3.9 3.9 ...
#> .. ..$ from.y: num [1:347] 1.37 1.37 1.37 1.37 1.37 ...
#> .. ..$ to.x : num [1:347] 5.61 1.77 2.69 4.85 4.53 ...
#> .. ..$ to.y : num [1:347] -0.386 2.115 1.01 -0.143 -1.336 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.9 2.29 2.74 2.89 -9.62 ...
#> .. ..$ y : num [1:40] 1.375 -0.446 0.346 -2.062 -0.408 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.233 0.865 0.619 0.893 0.299 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 1 1 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 0 1 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 1 1 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 1 1 1 0 0 1 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 1 1 0 0 1 1 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 1 0 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 1 1 1 1 0 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 1 1 1 0 0 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 0 1 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 1 1 0 0 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 331 obs. of 7 variables:
#> .. ..$ from : chr [1:331] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:331] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:331] 0.12838 0.00184 0.09905 0.13982 0.12391 ...
#> .. ..$ from.x: num [1:331] 2.33 2.33 2.33 2.33 2.33 ...
#> .. ..$ from.y: num [1:331] 0.776 0.776 0.776 0.776 0.776 ...
#> .. ..$ to.x : num [1:331] 5.12 -3.02 3.82 2.58 5.64 ...
#> .. ..$ to.y : num [1:331] -0.288 -0.852 2.56 -0.419 -1.025 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.33 3.43 2.18 5.39 -10.01 ...
#> .. ..$ y : num [1:40] 0.776 -1.969 -1.75 0.707 -0.011 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.974 0.935 0.441 1.103 0.227 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 1 1 1 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 1 1 0 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 1 0 0 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 0 0 1 1 0 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 1 1 1 0 1 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 1 1 0 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 0 0 0 0 1 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 1 1 1 1 0 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 1 0 1 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 1 0 1 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 0 1 1 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 1 1 1 1 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 346 obs. of 7 variables:
#> .. ..$ from : chr [1:346] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:346] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:346] 0.052 0.0493 0.0348 0.1278 0.2144 ...
#> .. ..$ from.x: num [1:346] 1.3 1.3 1.3 1.3 1.3 ...
#> .. ..$ from.y: num [1:346] 1.01 1.01 1.01 1.01 1.01 ...
#> .. ..$ to.x : num [1:346] 4.15 -3.81 3.31 2.64 5.19 ...
#> .. ..$ to.y : num [1:346] 0.335 1.213 -1.575 0.22 1.06 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.3 4.54 2.09 4.58 -7.9 ...
#> .. ..$ y : num [1:40] 1.01419 -1.00272 1.26055 -1.79489 -0.00962 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.788 1.1 0.789 0.815 0.359 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 0 0 1 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 1 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 0 0 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 1 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 0 0 1 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 1 1 1 1 1 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 1 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 1 0 1 1 0 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 1 0 1 1 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 349 obs. of 7 variables:
#> .. ..$ from : chr [1:349] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:349] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_+" ...
#> .. ..$ weight: num [1:349] 0.00527 0.08548 0.17155 0.01517 0.09667 ...
#> .. ..$ from.x: num [1:349] 1.22 1.22 1.22 1.22 1.22 ...
#> .. ..$ from.y: num [1:349] 2.32 2.32 2.32 2.32 2.32 ...
#> .. ..$ to.x : num [1:349] 4.77 3.37 4.18 -3.04 1.87 ...
#> .. ..$ to.y : num [1:349] -0.551 1.953 0.797 1.254 0.489 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.22 3.18 2.74 4.68 -8.61 ...
#> .. ..$ y : num [1:40] 2.3196 -2.2418 -0.0676 1.4952 0.2369 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.933 1.159 0.816 0.731 0.245 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 1 0 0 0 1 1 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 0 0 1 1 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 1 0 1 1 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 0 0 0 1 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 1 0 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 1 0 0 0 1 1 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 0 0 1 1 0 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 0 0 0 1 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 1 0 1 1 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 1 1 0 0 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 333 obs. of 7 variables:
#> .. ..$ from : chr [1:333] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:333] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:333] 0.1927 0.0151 0.058 0.2731 0.1319 ...
#> .. ..$ from.x: num [1:333] 2.93 2.93 2.93 2.93 2.93 ...
#> .. ..$ from.y: num [1:333] 0.508 0.508 0.508 0.508 0.508 ...
#> .. ..$ to.x : num [1:333] 5.47 -3.38 3.59 3.48 4.26 ...
#> .. ..$ to.y : num [1:333] -0.029 -0.103 2.656 0.895 -0.908 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.928 4.085 0.365 3.259 -8.496 ...
#> .. ..$ y : num [1:40] 0.508 -2.119 0.203 1.831 -0.664 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.778 1.024 0.628 0.9 0.331 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 0 0 1 1 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 1 0 0 0 1 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 1 1 1 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 1 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 0 0 0 1 1 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 0 1 0 0 0 1 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 1 1 1 1 0 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 1 1 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 1 1 0 0 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 0 1 0 0 1 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 1 0 0 0 1 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 1 1 0 1 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 345 obs. of 7 variables:
#> .. ..$ from : chr [1:345] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:345] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_+" ...
#> .. ..$ weight: num [1:345] 0.225 0.1011 0.2628 0.0457 0.0426 ...
#> .. ..$ from.x: num [1:345] 2.28 2.28 2.28 2.28 2.28 ...
#> .. ..$ from.y: num [1:345] 2 2 2 2 2 ...
#> .. ..$ to.x : num [1:345] 4.76 2.46 2.88 -4.52 1.76 ...
#> .. ..$ to.y : num [1:345] 1.054 -1.609 0.921 -0.281 0.453 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.28 4.46 2.02 3.58 -9.07 ...
#> .. ..$ y : num [1:40] 1.9955 -1.9061 -0.5135 -0.0666 0.4522 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.806 1 0.712 0.818 0.275 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 1 1 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 0 1 0 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 1 0 1 1 0 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 0 1 0 0 1 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 1 0 0 0 0 1 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 0 1 1 1 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 1 0 1 1 0 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 1 0 0 1 1 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 349 obs. of 7 variables:
#> .. ..$ from : chr [1:349] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:349] "equalize_incomes_--" "equalize_incomes_+" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:349] 0.1561 0.0259 0.1955 0.1418 0.013 ...
#> .. ..$ from.x: num [1:349] 1.62 1.62 1.62 1.62 1.62 ...
#> .. ..$ from.y: num [1:349] -0.622 -0.622 -0.622 -0.622 -0.622 ...
#> .. ..$ to.x : num [1:349] 4.35 -2.68 3.01 4.86 -4.15 ...
#> .. ..$ to.y : num [1:349] -0.641 -0.943 -1.076 -1.19 0.338 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.62 3.82 2.5 4.57 -8.63 ...
#> .. ..$ y : num [1:40] -0.622 -1.2099 -0.3228 1.5239 -0.0866 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1 1.067 0.804 0.806 0.344 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 1 0 0 0 1 0 1 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 1 1 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 1 0 0 0 1 0 1 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 0 1 1 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 1 0 0 0 1 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 1 1 0 0 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 346 obs. of 7 variables:
#> .. ..$ from : chr [1:346] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:346] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:346] 0.2484 0.1076 0.2047 0.1227 0.0722 ...
#> .. ..$ from.x: num [1:346] 3.45 3.45 3.45 3.45 3.45 ...
#> .. ..$ from.y: num [1:346] -0.284 -0.284 -0.284 -0.284 -0.284 ...
#> .. ..$ to.x : num [1:346] 4.9 4.35 2.55 5.85 1.2 ...
#> .. ..$ to.y : num [1:346] -0.978 1.9382 0.0283 0.3275 0.3344 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.4455 4.2992 0.0629 4.378 -8.9653 ...
#> .. ..$ y : num [1:40] -0.284 -1.637 0.966 1.072 0.62 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.122 1.02 0.652 0.939 0.333 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 1 1 0 1 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 1 1 1 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 1 0 1 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 1 0 1 0 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 0 1 1 1 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 0 1 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 1 0 1 1 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 1 1 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 0 0 1 0 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 1 1 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 0 0 1 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 338 obs. of 7 variables:
#> .. ..$ from : chr [1:338] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:338] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:338] 0.174 0.00374 0.04198 0.2531 0.19607 ...
#> .. ..$ from.x: num [1:338] 2.45 2.45 2.45 2.45 2.45 ...
#> .. ..$ from.y: num [1:338] -0.0378 -0.0378 -0.0378 -0.0378 -0.0378 ...
#> .. ..$ to.x : num [1:338] 5.13 -3 3.69 3.08 4.59 ...
#> .. ..$ to.y : num [1:338] -0.109 -0.986 2.074 0.207 0.533 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.446 4.777 0.506 2.567 -9.25 ...
#> .. ..$ y : num [1:40] -0.0378 -0.76 0.326 1.1353 0.2069 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.703 1.096 0.596 0.792 0.273 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 1 0 1 1 1 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 0 1 1 1 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 1 0 0 0 0 1 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 1 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 1 1 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 1 0 0 1 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 0 0 1 1 1 0 0 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 1 1 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 0 1 1 1 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 1 1 1 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 0 0 0 1 1 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 1 0 0 1 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 1 0 1 1 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 341 obs. of 7 variables:
#> .. ..$ from : chr [1:341] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:341] "equalize_incomes_-" "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:341] 0.0293 0.1373 0.0499 0.1533 0.1157 ...
#> .. ..$ from.x: num [1:341] 2.3 2.3 2.3 2.3 2.3 ...
#> .. ..$ from.y: num [1:341] 0.773 0.773 0.773 0.773 0.773 ...
#> .. ..$ to.x : num [1:341] 2.67 5.41 4.33 5.05 4.61 ...
#> .. ..$ to.y : num [1:341] -0.500788 -0.853811 2.070024 0.000719 -1.463681 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.3 3.7 1.37 5.91 -10.47 ...
#> .. ..$ y : num [1:40] 0.773 -1.347 -0.65 1.547 -0.671 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.821 1.46 0.596 0.895 0.3 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 0 0 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 1 1 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 1 0 0 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 1 0 0 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 0 1 1 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 1 1 0 0 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 1 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 1 0 0 0 0 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 1 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 0 1 0 0 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 351 obs. of 7 variables:
#> .. ..$ from : chr [1:351] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:351] "equalize_incomes_--" "equalize_incomes_+/-" "equalize_incomes_++" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:351] 0.09206 0.00239 0.00401 0.05385 0.15631 ...
#> .. ..$ from.x: num [1:351] 1.41 1.41 1.41 1.41 1.41 ...
#> .. ..$ from.y: num [1:351] -0.0791 -0.0791 -0.0791 -0.0791 -0.0791 ...
#> .. ..$ to.x : num [1:351] 4.25 4.18 -10.17 3.56 4.62 ...
#> .. ..$ to.y : num [1:351] -1.748 2.302 -0.671 -0.257 -0.694 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.41 2.59 1.25 4.02 -8.4 ...
#> .. ..$ y : num [1:40] -0.0791 -2.0102 0.5658 1.1245 0.4555 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.083 0.762 0.714 1.154 0.313 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 0 1 1 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 1 1 1 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 1 0 1 0 1 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 1 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 1 1 1 0 0 1 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 1 1 0 0 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 1 1 1 0 0 1 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 1 0 0 1 1 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 1 0 0 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 334 obs. of 7 variables:
#> .. ..$ from : chr [1:334] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:334] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:334] 0.058822 0.095056 0.000836 0.092429 0.140336 ...
#> .. ..$ from.x: num [1:334] 1.24 1.24 1.24 1.24 1.24 ...
#> .. ..$ from.y: num [1:334] 0.912 0.912 0.912 0.912 0.912 ...
#> .. ..$ to.x : num [1:334] 5.63 -1.6 3.63 3.07 5.22 ...
#> .. ..$ to.y : num [1:334] 1.436 1.64 -2.176 1.636 0.692 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.24 5.47 2.39 4.28 -10.37 ...
#> .. ..$ y : num [1:40] 0.912 -1.481 0.76 1.221 0.221 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.857 1.075 0.667 1.083 0.315 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 1 0 1 1 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 0 1 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 1 1 0 0 1 1 1 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 1 0 1 1 1 0 1 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 0 1 1 0 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 0 1 1 0 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 0 0 1 0 1 1 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 350 obs. of 7 variables:
#> .. ..$ from : chr [1:350] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:350] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:350] 0.1906 0.0399 0.163 0.122 0.0781 ...
#> .. ..$ from.x: num [1:350] 2.71 2.71 2.71 2.71 2.71 ...
#> .. ..$ from.y: num [1:350] 1.48 1.48 1.48 1.48 1.48 ...
#> .. ..$ to.x : num [1:350] 5.49 3.12 4.1 5.06 1.25 ...
#> .. ..$ to.y : num [1:350] 0.904 -2.232 0.144 0.488 -0.444 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.71 4.44 1.74 4.18 -9.55 ...
#> .. ..$ y : num [1:40] 1.48 -1.184 0.455 -1.746 0.45 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.161 1.22 0.787 0.938 0.322 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 0 1 1 1 1 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 0 0 1 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 1 0 1 0 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 1 0 0 1 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 1 0 1 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 0 0 1 0 1 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 0 0 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 1 0 0 0 0 1 1 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 0 0 1 1 1 0 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 1 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 1 1 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 0 0 0 1 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 335 obs. of 7 variables:
#> .. ..$ from : chr [1:335] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:335] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:335] 0.1853 0.0296 0.1687 0.2237 0.107 ...
#> .. ..$ from.x: num [1:335] 3.13 3.13 3.13 3.13 3.13 ...
#> .. ..$ from.y: num [1:335] 2.09 2.09 2.09 2.09 2.09 ...
#> .. ..$ to.x : num [1:335] 5.07 2.96 3.93 5.32 3.13 ...
#> .. ..$ to.y : num [1:335] 1.234 0.469 -0.283 0.115 -0.226 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.13 5.16 2.17 3.24 -9.68 ...
#> .. ..$ y : num [1:40] 2.092 -1.689 0.397 -2.066 -0.307 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1 1 0.679 0.758 0.288 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 1 1 1 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 1 1 0 1 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 1 0 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 1 1 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 1 0 1 1 0 1 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 1 1 1 1 1 0 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 0 1 1 1 1 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 0 1 0 1 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 1 0 0 0 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 1 1 0 1 1 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 330 obs. of 7 variables:
#> .. ..$ from : chr [1:330] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:330] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:330] 0.3334 0.07 0.1949 0.3032 0.0314 ...
#> .. ..$ from.x: num [1:330] 4.72 4.72 4.72 4.72 4.72 ...
#> .. ..$ from.y: num [1:330] -0.544 -0.544 -0.544 -0.544 -0.544 ...
#> .. ..$ to.x : num [1:330] 4.48 5.26 3.43 4.95 2.85 ...
#> .. ..$ to.y : num [1:330] -1.272 1.123 0.718 -2.061 -0.171 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 4.716 3.013 0.436 4.949 -9.256 ...
#> .. ..$ y : num [1:40] -0.544 -0.886 0.636 1.782 -0.758 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.2 0.922 0.545 0.385 0.336 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 1 1 1 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 0 1 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 1 0 1 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 1 1 0 1 1 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 1 1 1 1 0 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 1 0 0 1 1 1 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 1 0 1 1 0 0 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 0 1 0 0 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 0 1 0 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 336 obs. of 7 variables:
#> .. ..$ from : chr [1:336] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:336] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:336] 0.208623 0.071741 0.240356 0.156824 0.000676 ...
#> .. ..$ from.x: num [1:336] 3.88 3.88 3.88 3.88 3.88 ...
#> .. ..$ from.y: num [1:336] 1.81 1.81 1.81 1.81 1.81 ...
#> .. ..$ to.x : num [1:336] 5.48 3.53 3.26 4.98 -2.07 ...
#> .. ..$ to.y : num [1:336] 0.4912 -1.7429 0.111 0.0772 0.9093 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.88 5.04 1.81 2.67 -10.87 ...
#> .. ..$ y : num [1:40] 1.805 -1.205 0.363 -0.901 -0.476 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.022 1.19 0.596 0.892 0.332 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 1 0 0 1 1 0 0 0 1 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 1 0 0 0 0 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 0 1 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 1 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 0 0 1 1 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 0 0 0 0 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 1 0 0 1 1 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 1 0 0 1 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 1 0 1 0 1 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 1 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 343 obs. of 7 variables:
#> .. ..$ from : chr [1:343] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:343] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:343] 0.00751 0.04136 0.13017 0.11653 0.03386 ...
#> .. ..$ from.x: num [1:343] 0.868 0.868 0.868 0.868 0.868 ...
#> .. ..$ from.y: num [1:343] 1.67 1.67 1.67 1.67 1.67 ...
#> .. ..$ to.x : num [1:343] 5.28 -4.44 3.86 3.25 5.02 ...
#> .. ..$ to.y : num [1:343] -0.14773 0.00419 2.202 -0.28091 -1.27165 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 0.868 3.947 1.376 4.409 -8.292 ...
#> .. ..$ y : num [1:40] 1.67 -2.087 1.037 0.134 -0.285 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.75 1.127 0.59 0.971 0.264 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 1 1 1 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 0 1 1 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 1 0 0 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 1 1 0 0 1 1 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 1 0 0 0 0 0 1 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 0 1 1 0 0 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 1 1 0 0 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 1 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 1 1 0 0 0 1 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 1 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 0 1 0 1 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 322 obs. of 7 variables:
#> .. ..$ from : chr [1:322] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:322] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:322] 0.0809 0.0526 0.1319 0.0324 0.0439 ...
#> .. ..$ from.x: num [1:322] 1.36 1.36 1.36 1.36 1.36 ...
#> .. ..$ from.y: num [1:322] 1.13 1.13 1.13 1.13 1.13 ...
#> .. ..$ to.x : num [1:322] 5.29 3.28 3.5 5.76 -3.92 ...
#> .. ..$ to.y : num [1:322] 0.2352 -1.96 -0.0133 0.7072 -0.5926 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.36 6.35 1.32 4.12 -9.33 ...
#> .. ..$ y : num [1:40] 1.129 -1.212 -0.361 1.812 -0.567 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.889 1.306 0.656 1.16 0.311 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 1 1 0 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 1 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 1 0 0 0 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 1 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 1 1 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 0 1 0 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 1 1 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 1 1 0 0 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 0 1 0 0 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 1 0 0 1 1 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 1 0 0 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 340 obs. of 7 variables:
#> .. ..$ from : chr [1:340] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:340] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:340] 0.1313 0.0236 0.0172 0.255 0.0561 ...
#> .. ..$ from.x: num [1:340] 0.9 0.9 0.9 0.9 0.9 ...
#> .. ..$ from.y: num [1:340] -1.76 -1.76 -1.76 -1.76 -1.76 ...
#> .. ..$ to.x : num [1:340] 4.39 1.97 3.1 3.57 -3.21 ...
#> .. ..$ to.y : num [1:340] -0.6163 -1.9213 -0.2341 -1.2853 0.0376 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 0.9 2.1 2.08 3.2 -8.12 ...
#> .. ..$ y : num [1:40] -1.755 -0.603 0.544 0.806 -0.578 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.094 0.919 0.682 0.629 0.259 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 0 1 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 1 0 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 1 0 1 0 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 1 1 1 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 1 1 1 1 0 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 1 0 0 1 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 0 1 1 0 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 1 1 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 0 1 1 1 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 345 obs. of 7 variables:
#> .. ..$ from : chr [1:345] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:345] "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_--" "welfare_spending_-" ...
#> .. ..$ weight: num [1:345] 0.2783 0.2798 0.1462 0.0541 0.0593 ...
#> .. ..$ from.x: num [1:345] 2.8 2.8 2.8 2.8 2.8 ...
#> .. ..$ from.y: num [1:345] -0.458 -0.458 -0.458 -0.458 -0.458 ...
#> .. ..$ to.x : num [1:345] 4.9 3.74 4.27 3.16 4.99 ...
#> .. ..$ to.y : num [1:345] 0.00474 0.6143 -1.0282 0.30672 -0.83069 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.8 2.14 1.27 4.24 -8.12 ...
#> .. ..$ y : num [1:40] -0.4577 -1.6392 -0.0804 1.8563 -0.7079 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.051 0.974 0.78 0.936 0.329 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 1 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 0 0 1 1 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 1 0 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 1 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 1 1 1 1 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 1 0 1 1 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 0 1 1 0 1 1 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 1 1 1 1 0 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 0 0 0 0 1 1 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 1 0 1 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 338 obs. of 7 variables:
#> .. ..$ from : chr [1:338] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:338] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:338] 0.064 0.0328 0.1628 0.0771 0.0386 ...
#> .. ..$ from.x: num [1:338] 1.81 1.81 1.81 1.81 1.81 ...
#> .. ..$ from.y: num [1:338] 1.17 1.17 1.17 1.17 1.17 ...
#> .. ..$ to.x : num [1:338] 5.26 4.38 3.12 5.34 -5.32 ...
#> .. ..$ to.y : num [1:338] -1.366 1.616 -0.969 0.676 0.211 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.81 4.28 2.55 3.31 -9.39 ...
#> .. ..$ y : num [1:40] 1.171 0.963 -2.352 0.184 0.303 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.923 1.262 0.87 1.25 0.264 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 1 1 1 1 1 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 0 1 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 1 0 1 1 1 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 1 0 1 1 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 1 1 1 1 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 0 1 1 1 1 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 1 1 1 1 1 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 1 1 1 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 331 obs. of 7 variables:
#> .. ..$ from : chr [1:331] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:331] "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_--" "keep_immigrants_+/-" ...
#> .. ..$ weight: num [1:331] 0.34366 0.10181 0.20993 0.00699 0.04069 ...
#> .. ..$ from.x: num [1:331] 3.88 3.88 3.88 3.88 3.88 ...
#> .. ..$ from.y: num [1:331] 0.866 0.866 0.866 0.866 0.866 ...
#> .. ..$ to.x : num [1:331] 5.2 2.3 5.57 1.56 3.32 ...
#> .. ..$ to.y : num [1:331] 1.088 0.285 0.642 -1.395 0.446 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.88 3.45 2.36 4.15 -8.59 ...
#> .. ..$ y : num [1:40] 0.866 -1.209 1.546 -1.219 0.16 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.135 1 0.741 0.861 0.305 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 0 1 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 1 0 1 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 1 1 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 1 1 1 0 1 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 1 1 0 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 0 1 1 0 0 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 1 1 0 1 0 0 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 1 1 1 1 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 338 obs. of 7 variables:
#> .. ..$ from : chr [1:338] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:338] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:338] 0.2018 0.0122 0.1624 0.1994 0.0181 ...
#> .. ..$ from.x: num [1:338] 3.76 3.76 3.76 3.76 3.76 ...
#> .. ..$ from.y: num [1:338] 0.579 0.579 0.579 0.579 0.579 ...
#> .. ..$ to.x : num [1:338] 5.12 4.18 3.13 5.15 1.08 ...
#> .. ..$ to.y : num [1:338] -0.0334 2.6427 -0.1938 -1.4437 0.8017 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.76 2.11 1.79 4.93 -9.11 ...
#> .. ..$ y : num [1:40] 0.579 -2.578 0.101 1.513 -0.275 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.933 0.956 0.556 1.045 0.322 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 1 1 1 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 1 1 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 1 1 1 0 0 1 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 1 1 1 1 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 1 1 1 1 1 0 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 1 0 0 0 1 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 1 0 1 1 0 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 1 0 1 0 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 1 1 1 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 339 obs. of 7 variables:
#> .. ..$ from : chr [1:339] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:339] "equalize_incomes_-" "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:339] 0.000552 0.137567 0.104765 0.19789 0.250985 ...
#> .. ..$ from.x: num [1:339] 2.09 2.09 2.09 2.09 2.09 ...
#> .. ..$ from.y: num [1:339] 0.892 0.892 0.892 0.892 0.892 ...
#> .. ..$ to.x : num [1:339] 3.65 3.09 4.26 2.63 3.61 ...
#> .. ..$ to.y : num [1:339] -1.771 1.438 0.458 0.119 1.89 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.09 1.1 2.39 4.96 -8.58 ...
#> .. ..$ y : num [1:40] 0.892 1.543 -1.86 0.94 -0.578 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.775 1.125 0.667 0.889 0.297 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 1 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 1 1 0 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 1 1 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 1 1 0 0 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 1 0 1 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 1 0 0 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 0 0 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 1 1 0 0 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 1 1 1 1 0 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 1 0 1 1 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 1 0 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 334 obs. of 7 variables:
#> .. ..$ from : chr [1:334] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:334] "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_--" "keep_immigrants_+" ...
#> .. ..$ weight: num [1:334] 0.2493 0.0821 0.1246 0.0326 0.0778 ...
#> .. ..$ from.x: num [1:334] 3.2 3.2 3.2 3.2 3.2 ...
#> .. ..$ from.y: num [1:334] 1.96 1.96 1.96 1.96 1.96 ...
#> .. ..$ to.x : num [1:334] 5.16 3.48 4.87 -3.35 1.34 ...
#> .. ..$ to.y : num [1:334] 1.211 1.01 -0.82 0.469 -1.446 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.2 3.17 2.73 3.43 -9.61 ...
#> .. ..$ y : num [1:40] 1.9608 -1.5953 0.0351 -2.2456 -0.3704 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1 0.905 0.883 1 0.306 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 1 1 1 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 1 1 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 1 0 0 1 0 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 1 0 0 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 0 1 1 0 1 1 0 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 1 1 0 1 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 1 1 0 1 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 339 obs. of 7 variables:
#> .. ..$ from : chr [1:339] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:339] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:339] 0.226 0.0617 0.2024 0.1198 0.0192 ...
#> .. ..$ from.x: num [1:339] 4.02 4.02 4.02 4.02 4.02 ...
#> .. ..$ from.y: num [1:339] 0.761 0.761 0.761 0.761 0.761 ...
#> .. ..$ to.x : num [1:339] 4.93 2.75 2.44 5.81 1.59 ...
#> .. ..$ to.y : num [1:339] 0.9467 -1.6435 -0.0798 0.5088 -0.9951 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 4.02 4.41 1.14 3.16 -8.87 ...
#> .. ..$ y : num [1:40] 0.7608 -1.1157 1.5718 -2.1987 0.0238 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.083 1.16 0.662 0.769 0.283 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 0 1 1 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 0 1 1 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 1 0 1 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 0 1 0 1 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 1 1 1 0 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 1 0 1 1 0 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 1 0 0 1 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 0 0 1 1 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 339 obs. of 7 variables:
#> .. ..$ from : chr [1:339] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:339] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:339] 0.3528 0.0181 0.0811 0.1371 0.0125 ...
#> .. ..$ from.x: num [1:339] 3.48 3.48 3.48 3.48 3.48 ...
#> .. ..$ from.y: num [1:339] 1.74 1.74 1.74 1.74 1.74 ...
#> .. ..$ to.x : num [1:339] 5.59 2.65 2.9 5.67 -4.53 ...
#> .. ..$ to.y : num [1:339] 1.222 1.558 -0.239 -0.401 0.69 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.48 3.12 1.69 4.23 -8.76 ...
#> .. ..$ y : num [1:40] 1.741 -2.509 1.228 -1.423 -0.637 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.196 0.872 0.627 1.143 0.365 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 1 1 1 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 1 1 0 0 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 1 0 0 0 1 0 0 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 1 0 1 0 1 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 1 0 0 0 1 0 0 1 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 1 0 0 1 1 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 1 0 1 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 0 1 0 0 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 1 1 1 0 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 1 1 0 0 1 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 338 obs. of 7 variables:
#> .. ..$ from : chr [1:338] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:338] "equalize_incomes_--" "equalize_incomes_+/-" "equalize_incomes_++" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:338] 0.21133 0.07065 0.00775 0.28665 0.02519 ...
#> .. ..$ from.x: num [1:338] 1.77 1.77 1.77 1.77 1.77 ...
#> .. ..$ from.y: num [1:338] 1.39 1.39 1.39 1.39 1.39 ...
#> .. ..$ to.x : num [1:338] 5.32 3.42 -10.17 2.88 5.45 ...
#> .. ..$ to.y : num [1:338] 0.526 0.154 0.709 -0.348 -0.447 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.77 3.38 1.93 4.78 -8.67 ...
#> .. ..$ y : num [1:40] 1.395 -2.182 -0.854 1.729 -0.176 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.078 1.154 0.729 1.133 0.332 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 1 1 0 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 0 1 0 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 0 1 0 1 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 1 1 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 1 1 0 0 1 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 0 1 1 0 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 0 0 1 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 1 1 0 0 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 1 1 0 0 1 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 0 1 1 0 0 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 341 obs. of 7 variables:
#> .. ..$ from : chr [1:341] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:341] "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_--" "keep_immigrants_+" ...
#> .. ..$ weight: num [1:341] 0.221 0.144 0.147 0.003 0.102 ...
#> .. ..$ from.x: num [1:341] 3.76 3.76 3.76 3.76 3.76 ...
#> .. ..$ from.y: num [1:341] 1.78 1.78 1.78 1.78 1.78 ...
#> .. ..$ to.x : num [1:341] 5.15 3.32 4.23 -3.23 2.65 ...
#> .. ..$ to.y : num [1:341] -0.1601 -0.0232 -0.7032 1.4547 -0.396 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.76 3.68 1.31 2.91 -8.74 ...
#> .. ..$ y : num [1:40] 1.782 -2.037 1.34 -1.848 0.631 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.051 1.045 0.579 0.783 0.343 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 1 1 1 1 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 1 0 1 0 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 1 0 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 1 0 0 1 1 0 1 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 1 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 1 0 0 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 1 0 1 0 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 1 1 1 0 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 1 1 1 1 0 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 1 1 1 1 1 1 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 1 1 0 1 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 341 obs. of 7 variables:
#> .. ..$ from : chr [1:341] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:341] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:341] 0.25796 0.00083 0.17257 0.14492 0.05955 ...
#> .. ..$ from.x: num [1:341] 2.72 2.72 2.72 2.72 2.72 ...
#> .. ..$ from.y: num [1:341] -1.73 -1.73 -1.73 -1.73 -1.73 ...
#> .. ..$ to.x : num [1:341] 4.183 3.446 2.813 4.835 0.633 ...
#> .. ..$ to.y : num [1:341] -0.964 -2.421 -0.987 -0.123 0.42 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.72 1.85 1.52 3.52 -9.26 ...
#> .. ..$ y : num [1:40] -1.726 -0.809 1.367 1.037 0.523 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.238 0.902 0.542 0.759 0.31 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 1 1 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 0 0 0 0 1 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 0 0 0 1 0 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 1 0 1 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 1 1 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 0 0 0 1 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 1 0 0 0 1 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 1 1 0 0 1 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 347 obs. of 7 variables:
#> .. ..$ from : chr [1:347] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:347] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:347] 0.0794 0.1063 0.0235 0.0755 0.2078 ...
#> .. ..$ from.x: num [1:347] 3.39 3.39 3.39 3.39 3.39 ...
#> .. ..$ from.y: num [1:347] 1.96 1.96 1.96 1.96 1.96 ...
#> .. ..$ to.x : num [1:347] 4.993 -0.421 1.179 2.511 5.108 ...
#> .. ..$ to.y : num [1:347] -0.612 2.182 -1.941 -0.906 0.214 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.39 1.59 2.04 4.38 -10.13 ...
#> .. ..$ y : num [1:40] 1.956 -0.0374 0.464 -2.1212 0.5453 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.923 0.955 0.721 1 0.325 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 1 0 0 1 0 0 1 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 0 1 0 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 1 0 0 0 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 0 1 0 0 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 1 0 0 0 1 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 1 1 1 1 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 1 1 0 1 0 0 1 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 0 1 1 1 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 1 0 1 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 333 obs. of 7 variables:
#> .. ..$ from : chr [1:333] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:333] "equalize_incomes_-" "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:333] 0.0212 0.1748 0.093 0.16 0.2647 ...
#> .. ..$ from.x: num [1:333] 4.28 4.28 4.28 4.28 4.28 ...
#> .. ..$ from.y: num [1:333] 1.15 1.15 1.15 1.15 1.15 ...
#> .. ..$ to.x : num [1:333] 1.3 4.33 3.72 3.17 4.67 ...
#> .. ..$ to.y : num [1:333] -1.098 -1.102 1.601 -0.557 -0.529 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 4.284 5.289 0.691 1.77 -7.854 ...
#> .. ..$ y : num [1:40] 1.1533 0.0688 -0.7578 0.838 -0.1012 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.206 1.132 0.607 0.767 0.306 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 1 0 1 1 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 0 0 1 1 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 1 0 0 0 1 0 1 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 0 0 1 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 1 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 1 0 0 1 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 1 1 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 0 0 0 1 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 1 1 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 348 obs. of 7 variables:
#> .. ..$ from : chr [1:348] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:348] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:348] 0.157 0.158 0.091 0.191 0.022 ...
#> .. ..$ from.x: num [1:348] 3.84 3.84 3.84 3.84 3.84 ...
#> .. ..$ from.y: num [1:348] 0.403 0.403 0.403 0.403 0.403 ...
#> .. ..$ to.x : num [1:348] 4.38 4.05 2.74 5.65 2.34 ...
#> .. ..$ to.y : num [1:348] -1.525 2.149 -0.106 -0.98 1.831 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.84 3.889 0.709 4.159 -8.817 ...
#> .. ..$ y : num [1:40] 0.403 -0.575 -0.387 1.349 -0.649 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.132 1.114 0.621 0.75 0.317 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 1 1 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 0 0 0 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 0 1 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 1 1 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 0 0 0 0 1 1 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 0 0 0 1 0 1 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 0 0 0 0 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 1 1 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 0 0 0 0 0 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 1 0 0 1 0 1 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 1 0 0 0 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 1 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 0 0 0 0 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 341 obs. of 7 variables:
#> .. ..$ from : chr [1:341] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:341] "equalize_incomes_-" "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:341] 0.1268 0.1503 0.145 0.2285 0.0875 ...
#> .. ..$ from.x: num [1:341] 2.77 2.77 2.77 2.77 2.77 ...
#> .. ..$ from.y: num [1:341] 0.172 0.172 0.172 0.172 0.172 ...
#> .. ..$ to.x : num [1:341] 2.03 5.04 4.22 4.91 3.31 ...
#> .. ..$ to.y : num [1:341] -1.124 -0.411 -1.234 0.268 -0.408 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.77 4.94 1.04 3.57 -10.18 ...
#> .. ..$ y : num [1:40] 0.172 -1.443 0.187 2.478 0.721 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1 1.065 0.543 0.704 0.358 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 1 1 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 0 0 1 1 1 0 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 0 1 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 1 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 1 0 1 1 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 0 1 1 1 0 1 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 1 0 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 0 1 1 1 0 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 1 0 0 1 0 1 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 1 0 1 1 0 1 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 345 obs. of 7 variables:
#> .. ..$ from : chr [1:345] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:345] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:345] 0.1987 0.0468 0.2099 0.1198 0.1245 ...
#> .. ..$ from.x: num [1:345] 2.65 2.65 2.65 2.65 2.65 ...
#> .. ..$ from.y: num [1:345] 1.22 1.22 1.22 1.22 1.22 ...
#> .. ..$ to.x : num [1:345] 4.18 4.98 1.84 5.02 3.17 ...
#> .. ..$ to.y : num [1:345] -1.21 1.857 -0.229 -0.9 2.105 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.65 3.25 2.47 3.7 -9.85 ...
#> .. ..$ y : num [1:40] 1.218 0.566 0.13 -2.293 -0.523 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.065 0.956 0.778 0.812 0.29 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 1 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 0 1 1 1 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 1 0 0 1 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 1 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 1 1 1 1 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 1 0 0 1 1 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 1 1 0 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 0 0 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 0 1 1 1 1 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 0 0 1 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 0 1 1 1 0 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 1 1 1 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 347 obs. of 7 variables:
#> .. ..$ from : chr [1:347] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:347] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:347] 0.2441 0.0805 0.1742 0.1925 0.0618 ...
#> .. ..$ from.x: num [1:347] 4.28 4.28 4.28 4.28 4.28 ...
#> .. ..$ from.y: num [1:347] -0.359 -0.359 -0.359 -0.359 -0.359 ...
#> .. ..$ to.x : num [1:347] 5.02 2.88 2.75 5.14 3.39 ...
#> .. ..$ to.y : num [1:347] 0.212 -1.527 0.121 0.973 1.504 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 4.28 3.01 1.83 5.32 -8.93 ...
#> .. ..$ y : num [1:40] -0.3588 2.2548 -0.6476 -1.3449 0.0978 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.969 1.045 0.569 0.95 0.29 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 1 0 1 1 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 1 0 0 1 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 1 1 0 0 1 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 1 0 0 1 1 0 1 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 1 0 0 0 0 1 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 1 0 1 1 0 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 0 1 0 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 0 1 1 0 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 0 0 1 1 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 1 0 1 1 0 1 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 343 obs. of 7 variables:
#> .. ..$ from : chr [1:343] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:343] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:343] 0.06805 0.05259 0.32514 0.05765 0.00468 ...
#> .. ..$ from.x: num [1:343] 1.44 1.44 1.44 1.44 1.44 ...
#> .. ..$ from.y: num [1:343] 1.2 1.2 1.2 1.2 1.2 ...
#> .. ..$ to.x : num [1:343] 4.58 4.23 3.1 5.22 -4.22 ...
#> .. ..$ to.y : num [1:343] 0.842 -1.83 1.306 -0.352 -1.327 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.44 4.71 1.43 3.38 -9.03 ...
#> .. ..$ y : num [1:40] 1.198 0.117 -0.37 -2.327 -0.719 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.722 1.088 0.712 0.917 0.326 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 1 0 1 0 1 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 1 0 1 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 0 1 0 0 1 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 1 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 1 0 1 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 1 1 1 1 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 0 1 1 1 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_-- : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 0 0 0 1 1 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 1 0 1 1 1 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 351 obs. of 7 variables:
#> .. ..$ from : chr [1:351] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:351] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:351] 0.1719 0.0212 0.1279 0.083 0.0589 ...
#> .. ..$ from.x: num [1:351] 2.39 2.39 2.39 2.39 2.39 ...
#> .. ..$ from.y: num [1:351] 1.86 1.86 1.86 1.86 1.86 ...
#> .. ..$ to.x : num [1:351] 4.93 2.61 3.41 3.9 -2.88 ...
#> .. ..$ to.y : num [1:351] 0.00458 2.43703 0.24523 0.92763 1.05791 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.392 0.791 2.341 3.228 -7.915 ...
#> .. ..$ y : num [1:40] 1.857 -0.336 0.89 -0.808 -0.701 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1 0.878 0.692 0.885 0.327 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 1 1 1 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 0 1 1 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 0 0 1 1 1 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 1 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 1 1 0 1 1 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 1 0 1 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 0 0 1 1 1 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 1 1 1 1 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 1 1 1 1 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 1 0 1 1 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 340 obs. of 7 variables:
#> .. ..$ from : chr [1:340] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:340] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:340] 0.2425 0.1028 0.1319 0.1667 0.0491 ...
#> .. ..$ from.x: num [1:340] 4.2 4.2 4.2 4.2 4.2 ...
#> .. ..$ from.y: num [1:340] 1.49 1.49 1.49 1.49 1.49 ...
#> .. ..$ to.x : num [1:340] 4.64 3.39 2.71 5.63 1.52 ...
#> .. ..$ to.y : num [1:340] -0.634 2.607 -0.161 -0.468 0.671 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 4.2 3.89 2.23 4.75 -8.81 ...
#> .. ..$ y : num [1:40] 1.488 -1.702 -1.054 2.316 -0.217 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.056 1 0.794 0.862 0.271 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 1 0 0 0 0 1 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 1 0 1 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 1 0 0 1 0 1 1 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 1 0 1 1 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 0 1 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 0 0 1 1 0 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 1 0 0 1 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 0 1 1 0 0 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 0 1 1 0 1 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 1 1 0 1 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 348 obs. of 7 variables:
#> .. ..$ from : chr [1:348] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:348] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:348] 0.269335 0.008945 0.000251 0.108023 0.163428 ...
#> .. ..$ from.x: num [1:348] 2.18 2.18 2.18 2.18 2.18 ...
#> .. ..$ from.y: num [1:348] 1.81 1.81 1.81 1.81 1.81 ...
#> .. ..$ to.x : num [1:348] 4.09 -3.41 5.23 3.58 4.76 ...
#> .. ..$ to.y : num [1:348] 1.653 -0.311 -1.217 -0.584 1.555 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.18 5.74 1.26 4.78 -10.22 ...
#> .. ..$ y : num [1:40] 1.811 -0.387 -1.244 -0.34 0.379 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.059 1.065 0.656 0.75 0.357 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 1 1 0 1 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 1 0 1 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 1 1 0 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 1 0 1 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 1 0 1 0 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 0 1 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 1 1 0 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 1 1 1 1 1 0 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 0 0 1 1 0 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 0 1 1 0 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 1 1 1 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 337 obs. of 7 variables:
#> .. ..$ from : chr [1:337] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:337] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:337] 0.1886 0.1146 0.2595 0.1394 0.0498 ...
#> .. ..$ from.x: num [1:337] 3.44 3.44 3.44 3.44 3.44 ...
#> .. ..$ from.y: num [1:337] 0.191 0.191 0.191 0.191 0.191 ...
#> .. ..$ to.x : num [1:337] 4.71 3.92 3.29 5.01 3.08 ...
#> .. ..$ to.y : num [1:337] 1.332 -2.494 -0.393 0.564 1.264 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.44 5.16 1.62 4.69 -8.67 ...
#> .. ..$ y : num [1:40] 0.191 -0.372 -0.801 -1.086 0.276 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.067 1.057 0.667 0.88 0.281 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 0 0 1 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 1 1 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 1 1 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 1 0 0 0 0 1 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 1 1 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 1 0 0 0 0 0 1 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 0 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 1 1 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 0 0 0 0 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 1 1 1 1 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 1 0 0 0 0 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 343 obs. of 7 variables:
#> .. ..$ from : chr [1:343] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:343] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:343] 0.22909 0.01841 0.00189 0.17137 0.23829 ...
#> .. ..$ from.x: num [1:343] 3.29 3.29 3.29 3.29 3.29 ...
#> .. ..$ from.y: num [1:343] 2.02 2.02 2.02 2.02 2.02 ...
#> .. ..$ to.x : num [1:343] 4.84 -3.3 2.86 3.11 5.3 ...
#> .. ..$ to.y : num [1:343] 1.4547 0.0539 -2.2366 -0.1597 0.6324 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.29 5.81 2.16 4.15 -9.1 ...
#> .. ..$ y : num [1:40] 2.0235 -0.6687 -0.0912 -1.7807 -0.3989 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.194 0.923 0.735 0.818 0.323 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 1 1 1 0 0 0 1 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 1 1 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 1 0 0 1 0 1 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 0 1 0 0 1 0 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 1 1 0 1 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 1 0 0 1 0 0 0 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 0 0 1 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 339 obs. of 7 variables:
#> .. ..$ from : chr [1:339] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:339] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:339] 0.1379 0.153 0.185 0.2019 0.0579 ...
#> .. ..$ from.x: num [1:339] 3.98 3.98 3.98 3.98 3.98 ...
#> .. ..$ from.y: num [1:339] 1.49 1.49 1.49 1.49 1.49 ...
#> .. ..$ to.x : num [1:339] 5.05 2.11 3.58 5.29 3.99 ...
#> .. ..$ to.y : num [1:339] 0.5679 1.2337 -0.0594 -0.0656 0.6506 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.98 4.65 1.22 2.94 -8.61 ...
#> .. ..$ y : num [1:40] 1.487 -1.132 1.263 -1.701 0.411 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.935 1.106 0.825 1 0.355 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 1 1 0 0 0 1 1 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 0 0 1 1 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 1 0 0 1 1 0 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 1 1 1 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 0 1 1 0 1 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 0 0 1 1 1 0 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 0 1 1 1 0 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 0 1 1 1 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 1 0 0 1 0 0 0 1 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 0 0 1 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 343 obs. of 7 variables:
#> .. ..$ from : chr [1:343] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:343] "equalize_incomes_-" "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:343] 0.0198 0.2779 0.1133 0.1674 0.0199 ...
#> .. ..$ from.x: num [1:343] 3.65 3.65 3.65 3.65 3.65 ...
#> .. ..$ from.y: num [1:343] 1.78 1.78 1.78 1.78 1.78 ...
#> .. ..$ to.x : num [1:343] 1.98 5.22 2.78 4.77 -3.31 ...
#> .. ..$ to.y : num [1:343] -0.797 -0.334 -1.017 -0.941 1.116 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.65 2.97 1.3 4.21 -8.13 ...
#> .. ..$ y : num [1:40] 1.777 -1.884 1.073 0.78 0.304 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.179 1.25 0.707 0.667 0.277 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 1 0 0 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 1 0 0 1 1 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 0 0 1 1 1 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 1 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 0 0 1 0 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 1 0 0 1 0 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 1 1 0 0 0 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 1 1 1 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 1 0 0 0 0 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 343 obs. of 7 variables:
#> .. ..$ from : chr [1:343] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:343] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:343] 0.1667 0.1658 0.2 0.121 0.0549 ...
#> .. ..$ from.x: num [1:343] 3.8 3.8 3.8 3.8 3.8 ...
#> .. ..$ from.y: num [1:343] 1.84 1.84 1.84 1.84 1.84 ...
#> .. ..$ to.x : num [1:343] 5.46 2.98 3.61 5.02 1.66 ...
#> .. ..$ to.y : num [1:343] 0.18 2.643 -0.317 -0.65 0.841 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.8 3.86 1.73 4.31 -9.29 ...
#> .. ..$ y : num [1:40] 1.841 -1.5 -0.727 0.325 -0.066 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.062 1.191 0.5 0.967 0.302 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 0 1 1 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 0 1 1 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 0 1 1 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 1 0 1 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 0 0 0 1 1 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 1 1 1 1 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 0 0 0 1 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 0 1 0 1 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 1 1 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 1 0 1 0 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 336 obs. of 7 variables:
#> .. ..$ from : chr [1:336] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:336] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:336] 0.2352 0.0768 0.3157 0.0896 0.0568 ...
#> .. ..$ from.x: num [1:336] 4.14 4.14 4.14 4.14 4.14 ...
#> .. ..$ from.y: num [1:336] 1.84 1.84 1.84 1.84 1.84 ...
#> .. ..$ to.x : num [1:336] 5.04 1.55 3.52 4.76 3.41 ...
#> .. ..$ to.y : num [1:336] 0.29 1.902 1.557 -0.351 -0.299 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 4.14 4.02 1.57 2.81 -8.66 ...
#> .. ..$ y : num [1:40] 1.8386 -1.4649 -1.434 1.4119 -0.0865 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.057 1.146 0.787 0.886 0.329 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 1 1 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 1 0 0 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 0 1 1 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 1 0 1 1 1 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 1 1 0 0 0 1 1 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 1 0 0 0 1 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 1 1 1 0 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 1 0 0 1 1 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 0 1 1 0 0 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 0 1 1 1 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 1 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 0 1 1 1 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 344 obs. of 7 variables:
#> .. ..$ from : chr [1:344] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:344] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:344] 0.0588 0.1742 0.1818 0.0924 0.0412 ...
#> .. ..$ from.x: num [1:344] 2.77 2.77 2.77 2.77 2.77 ...
#> .. ..$ from.y: num [1:344] 0.903 0.903 0.903 0.903 0.903 ...
#> .. ..$ to.x : num [1:344] 5.25 4.36 3.83 5.81 1.65 ...
#> .. ..$ to.y : num [1:344] -0.416 1.51 -0.284 0.521 0.803 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.77 6.01 2.66 4.3 -11.74 ...
#> .. ..$ y : num [1:40] 0.903 -0.896 -0.638 2.325 0.101 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.964 1.049 0.619 0.905 0.277 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 0 1 1 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 1 1 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 0 1 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 1 0 1 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 1 0 1 1 1 0 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 1 0 1 1 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 0 1 0 0 0 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 0 1 1 1 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 0 0 1 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 1 1 0 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 342 obs. of 7 variables:
#> .. ..$ from : chr [1:342] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:342] "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_--" "welfare_spending_-" ...
#> .. ..$ weight: num [1:342] 0.1881 0.1403 0.1338 0.0477 0.05 ...
#> .. ..$ from.x: num [1:342] 1.72 1.72 1.72 1.72 1.72 ...
#> .. ..$ from.y: num [1:342] -1.78 -1.78 -1.78 -1.78 -1.78 ...
#> .. ..$ to.x : num [1:342] 4.2 2.44 5.22 3.03 -3.64 ...
#> .. ..$ to.y : num [1:342] -1.365 0.543 -1.269 0.188 0.662 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.72 4.86 1.62 3.84 -7.9 ...
#> .. ..$ y : num [1:40] -1.782 0.529 -0.746 1.93 0.484 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.893 1.043 0.582 1.111 0.262 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 1 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 0 1 0 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 0 1 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 0 1 0 0 1 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 1 1 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 0 0 1 0 0 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 1 0 1 0 1 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 1 0 1 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 1 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 0 0 0 0 1 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 0 1 0 0 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 348 obs. of 7 variables:
#> .. ..$ from : chr [1:348] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:348] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:348] 0.2549 0.0148 0.1786 0.2216 0.1112 ...
#> .. ..$ from.x: num [1:348] 3.14 3.14 3.14 3.14 3.14 ...
#> .. ..$ from.y: num [1:348] -1.21 -1.21 -1.21 -1.21 -1.21 ...
#> .. ..$ to.x : num [1:348] 4.48 2.69 3.73 4.81 3.15 ...
#> .. ..$ to.y : num [1:348] 0.301 1.3405 -0.6861 0.8563 0.0795 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.14 4.5 1.09 1.88 -7.78 ...
#> .. ..$ y : num [1:40] -1.213 -1.31 1.608 2.173 0.246 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.229 0.92 0.66 0.88 0.268 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 0 1 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 1 1 1 0 0 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 1 0 0 1 0 0 1 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 0 1 1 1 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 1 1 1 0 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 0 1 0 1 0 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 1 0 1 1 0 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 1 0 0 1 1 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 339 obs. of 7 variables:
#> .. ..$ from : chr [1:339] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:339] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:339] 0.1786 0.1198 0.246 0.0838 0.0251 ...
#> .. ..$ from.x: num [1:339] 2.91 2.91 2.91 2.91 2.91 ...
#> .. ..$ from.y: num [1:339] 0.179 0.179 0.179 0.179 0.179 ...
#> .. ..$ to.x : num [1:339] 5.22 3.06 3.4 5.93 5.63 ...
#> .. ..$ to.y : num [1:339] -0.9179 2.2152 -0.6431 0.4001 -0.0872 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.91 4.21 1.17 3.86 -9.27 ...
#> .. ..$ y : num [1:40] 0.17922 -0.62571 1.29888 0.20154 0.00644 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.075 1.28 0.542 1.276 0.259 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 1 1 0 1 1 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 0 0 1 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 0 1 1 0 0 1 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 1 1 1 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 1 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 0 1 1 1 1 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 1 1 0 1 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 1 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 1 0 1 0 1 1 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 0 1 1 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 1 1 0 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 341 obs. of 7 variables:
#> .. ..$ from : chr [1:341] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:341] "equalize_incomes_-" "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:341] 0.00328 0.09097 0.11668 0.16443 0.07013 ...
#> .. ..$ from.x: num [1:341] 4.96 4.96 4.96 4.96 4.96 ...
#> .. ..$ from.y: num [1:341] 1.06 1.06 1.06 1.06 1.06 ...
#> .. ..$ to.x : num [1:341] 1.96 4.44 3.87 4.37 2.85 ...
#> .. ..$ to.y : num [1:341] -0.565 -1.526 -0.593 0.57 -2.221 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 4.96 2.68 1.78 5.33 -10.9 ...
#> .. ..$ y : num [1:40] 1.062 -1.172 0.65 0.148 0.515 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.045 1.057 0.737 0.545 0.266 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 1 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 0 1 1 1 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 0 1 0 1 1 1 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 1 0 1 1 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 1 0 1 1 0 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 1 0 1 1 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 1 0 1 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 0 0 1 0 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 1 1 1 0 1 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 1 0 1 1 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 333 obs. of 7 variables:
#> .. ..$ from : chr [1:333] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:333] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:333] 0.1217 0.0689 0.2431 0.0275 0.1106 ...
#> .. ..$ from.x: num [1:333] 2.85 2.85 2.85 2.85 2.85 ...
#> .. ..$ from.y: num [1:333] 2.05 2.05 2.05 2.05 2.05 ...
#> .. ..$ to.x : num [1:333] 5.159 2.041 3.445 5.009 0.394 ...
#> .. ..$ to.y : num [1:333] 0.509 -1.761 -0.284 -0.166 1.415 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.85 5.14 1.28 4.55 -8.46 ...
#> .. ..$ y : num [1:40] 2.0459 -1.6287 -0.8216 1.2677 0.0386 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.258 1 0.571 1.094 0.301 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 1 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 0 1 1 0 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 1 1 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 1 0 0 1 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 1 1 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 0 1 1 1 0 1 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 1 1 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 1 1 0 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 0 0 0 1 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 0 0 0 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 337 obs. of 7 variables:
#> .. ..$ from : chr [1:337] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:337] "equalize_incomes_--" "equalize_incomes_+" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:337] 0.1126 0.062 0.1018 0.0701 0.027 ...
#> .. ..$ from.x: num [1:337] 0.725 0.725 0.725 0.725 0.725 ...
#> .. ..$ from.y: num [1:337] 1.62 1.62 1.62 1.62 1.62 ...
#> .. ..$ to.x : num [1:337] 4.67 -2.94 3.37 5.93 -3.95 ...
#> .. ..$ to.y : num [1:337] 1.602 0.342 0.745 0.257 -0.667 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 0.725 4.887 2.719 5.104 -9.489 ...
#> .. ..$ y : num [1:40] 1.6212 0.0463 -0.6533 -1.6428 0.42 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.081 1.553 0.726 1.143 0.336 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 0 1 0 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 1 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 1 1 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 1 1 1 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 1 0 0 1 1 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 1 0 1 0 1 1 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 0 1 0 1 0 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 1 1 0 1 0 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 1 1 0 0 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 332 obs. of 7 variables:
#> .. ..$ from : chr [1:332] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:332] "equalize_incomes_-" "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:332] 0.0104 0.0653 0.0918 0.1618 0.0625 ...
#> .. ..$ from.x: num [1:332] 1.55 1.55 1.55 1.55 1.55 ...
#> .. ..$ from.y: num [1:332] 0.511 0.511 0.511 0.511 0.511 ...
#> .. ..$ to.x : num [1:332] 3.17 4.77 1.51 2.28 4.96 ...
#> .. ..$ to.y : num [1:332] -2.0644 1.0705 2.3289 -0.2564 -0.0156 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.55 4.47 2.14 4.57 -7.82 ...
#> .. ..$ y : num [1:40] 0.511 -0.651 -1.46 2.193 -0.599 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.973 0.948 0.733 0.889 0.311 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 0 1 0 1 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 1 0 0 0 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 0 1 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 1 1 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 1 1 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 1 1 1 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 0 0 1 0 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 1 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 0 0 0 1 1 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 1 0 1 0 0 1 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 0 0 1 1 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 339 obs. of 7 variables:
#> .. ..$ from : chr [1:339] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:339] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:339] 0.1646 0.00374 0.0031 0.21447 0.01478 ...
#> .. ..$ from.x: num [1:339] 1.29 1.29 1.29 1.29 1.29 ...
#> .. ..$ from.y: num [1:339] 0.0144 0.0144 0.0144 0.0144 0.0144 ...
#> .. ..$ to.x : num [1:339] 4.77 -2.49 3.57 2.58 6.02 ...
#> .. ..$ to.y : num [1:339] -0.3775 -1.0524 -0.3066 0.2116 -0.0788 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.29 3.97 2.04 5.28 -9.1 ...
#> .. ..$ y : num [1:40] 0.0144 -1.7121 2.1868 -1.3249 0.486 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1 1 0.729 1.032 0.354 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 1 0 1 1 1 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 1 0 0 0 1 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 1 0 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 1 0 0 1 1 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 1 0 0 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 1 1 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 0 1 1 1 0 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 1 0 1 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 1 0 1 0 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 1 1 0 1 0 0 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 1 0 0 0 1 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 1 1 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 0 0 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 336 obs. of 7 variables:
#> .. ..$ from : chr [1:336] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:336] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:336] 0.1685 0.1455 0.2079 0.0735 0.0205 ...
#> .. ..$ from.x: num [1:336] 3.09 3.09 3.09 3.09 3.09 ...
#> .. ..$ from.y: num [1:336] 1.2 1.2 1.2 1.2 1.2 ...
#> .. ..$ to.x : num [1:336] 5.01 4.04 2.36 5.03 2.32 ...
#> .. ..$ to.y : num [1:336] -0.299 2.207 -0.155 -0.867 1.652 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.09 3.73 2.05 4.53 -8.87 ...
#> .. ..$ y : num [1:40] 1.196 -2.311 0.613 1.387 -0.356 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.128 1.234 0.787 0.886 0.3 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 1 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 0 0 0 1 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 0 1 0 1 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 1 0 1 0 1 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 1 0 1 0 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 1 1 0 1 0 1 0 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 1 0 0 1 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 1 0 1 1 0 1 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 0 1 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 344 obs. of 7 variables:
#> .. ..$ from : chr [1:344] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:344] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:344] 0.1106 0.0157 0.1128 0.2353 0.1911 ...
#> .. ..$ from.x: num [1:344] 2.06 2.06 2.06 2.06 2.06 ...
#> .. ..$ from.y: num [1:344] -0.104 -0.104 -0.104 -0.104 -0.104 ...
#> .. ..$ to.x : num [1:344] 4.41 -3.62 3 3.35 4.95 ...
#> .. ..$ to.y : num [1:344] -1.219 0.584 2.215 0.714 -1.315 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.06 5.13 1.28 4.87 -8.51 ...
#> .. ..$ y : num [1:40] -0.104 -0.533 0.239 0.591 -0.619 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.92 0.981 0.714 1.1 0.294 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 1 1 1 1 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 1 0 1 0 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 0 1 0 0 1 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 1 0 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 0 1 0 0 1 1 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 1 1 1 0 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 1 1 1 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 1 1 0 0 0 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 1 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 0 0 1 0 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 331 obs. of 7 variables:
#> .. ..$ from : chr [1:331] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:331] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:331] 0.06084 0.00552 0.14618 0.20474 0.04599 ...
#> .. ..$ from.x: num [1:331] 2.39 2.39 2.39 2.39 2.39 ...
#> .. ..$ from.y: num [1:331] 0.258 0.258 0.258 0.258 0.258 ...
#> .. ..$ to.x : num [1:331] 5.34 -2.14 3.03 3.91 5.98 ...
#> .. ..$ to.y : num [1:331] 0.2218 -0.9126 2.7126 -0.0136 -0.3742 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.387 4.952 0.861 3.267 -11.263 ...
#> .. ..$ y : num [1:40] 0.2577 -0.3099 -0.1816 0.3471 -0.0181 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.024 1.051 0.564 0.625 0.297 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 1 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 1 1 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 1 1 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 1 0 0 0 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 1 1 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 1 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 0 1 1 1 0 1 0 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 1 1 0 0 0 1 1 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 1 1 1 0 0 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 0 1 1 0 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 352 obs. of 7 variables:
#> .. ..$ from : chr [1:352] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:352] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:352] 0.1002 0.0284 0.0708 0.0714 0.1892 ...
#> .. ..$ from.x: num [1:352] 1.67 1.67 1.67 1.67 1.67 ...
#> .. ..$ from.y: num [1:352] 0.934 0.934 0.934 0.934 0.934 ...
#> .. ..$ to.x : num [1:352] 5 2.51 3 4.67 1.76 ...
#> .. ..$ to.y : num [1:352] 0.8413 0.9324 0.0108 -0.7318 0.09 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.67 3.55 3.21 3.44 -8.9 ...
#> .. ..$ y : num [1:40] 0.934 -2.564 1.371 0.725 0.405 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.111 1.15 0.936 0.902 0.267 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 0 0 1 1 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 1 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 0 0 0 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 1 1 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 0 0 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 1 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 0 1 1 0 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 0 1 0 1 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 0 0 1 0 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 1 0 1 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 0 0 1 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 334 obs. of 7 variables:
#> .. ..$ from : chr [1:334] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:334] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:334] 0.1974 0.0287 0.0375 0.1223 0.1534 ...
#> .. ..$ from.x: num [1:334] 3.2 3.2 3.2 3.2 3.2 ...
#> .. ..$ from.y: num [1:334] 1.64 1.64 1.64 1.64 1.64 ...
#> .. ..$ to.x : num [1:334] 5.36 -1.31 2.09 4.17 4.67 ...
#> .. ..$ to.y : num [1:334] 0.31 -1.224 -0.642 0.473 -0.28 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.2 3.07 1.82 3 -9.63 ...
#> .. ..$ y : num [1:40] 1.64 -2.24 1.74 -1.29 0.68 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.139 1.02 0.673 0.742 0.362 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 1 0 0 1 1 0 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 1 0 0 1 1 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 1 0 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 0 0 0 0 1 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 1 0 1 0 0 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 1 0 1 0 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 1 0 1 1 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 336 obs. of 7 variables:
#> .. ..$ from : chr [1:336] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:336] "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_+" "keep_immigrants_+/-" ...
#> .. ..$ weight: num [1:336] 0.1778 0.0996 0.0629 0.0447 0.0345 ...
#> .. ..$ from.x: num [1:336] 1.81 1.81 1.81 1.81 1.81 ...
#> .. ..$ from.y: num [1:336] 0.761 0.761 0.761 0.761 0.761 ...
#> .. ..$ to.x : num [1:336] 5.45 3.97 -3.99 1.85 3.58 ...
#> .. ..$ to.y : num [1:336] 0.514 -0.428 -0.359 1.564 1.895 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.81 4.13 1.58 4.44 -9.27 ...
#> .. ..$ y : num [1:40] 0.761 -1.974 -0.174 0.154 -0.295 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.24 1.208 0.638 1.219 0.314 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 1 0 0 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 0 0 1 0 1 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 1 0 0 0 1 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 1 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 1 1 0 1 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 0 0 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 1 1 1 1 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 1 0 0 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 0 1 0 1 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 1 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 1 1 0 1 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 329 obs. of 7 variables:
#> .. ..$ from : chr [1:329] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:329] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:329] 0.38948 0.03158 0.18736 0.1388 0.00191 ...
#> .. ..$ from.x: num [1:329] 3.16 3.16 3.16 3.16 3.16 ...
#> .. ..$ from.y: num [1:329] 0.78 0.78 0.78 0.78 0.78 ...
#> .. ..$ to.x : num [1:329] 4.4 3.75 3.83 3.56 1.44 ...
#> .. ..$ to.y : num [1:329] -0.832 -0.252 0.617 -2.093 0.397 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.158 0.472 0.997 4.52 -7.741 ...
#> .. ..$ y : num [1:40] 0.78 -1.251 1.235 -1.494 0.484 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.233 0.974 0.667 1.079 0.297 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 1 0 1 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 0 0 0 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 1 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 1 0 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 1 0 1 0 0 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 0 1 1 0 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 1 0 1 1 0 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 1 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 1 0 1 1 0 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 1 1 1 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 1 0 0 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 331 obs. of 7 variables:
#> .. ..$ from : chr [1:331] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:331] "equalize_incomes_--" "equalize_incomes_+" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:331] 0.1498 0.0422 0.2084 0.1563 0.0282 ...
#> .. ..$ from.x: num [1:331] 2.34 2.34 2.34 2.34 2.34 ...
#> .. ..$ from.y: num [1:331] 1.04 1.04 1.04 1.04 1.04 ...
#> .. ..$ to.x : num [1:331] 4.89 -2.07 3.64 4.28 -4.38 ...
#> .. ..$ to.y : num [1:331] 1.0495 0.0708 -0.3356 1.2781 -0.1774 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.34 5.28 1.1 3.83 -10.34 ...
#> .. ..$ y : num [1:40] 1.043 -0.864 -0.418 -1.118 0.509 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.618 0.78 0.625 0.833 0.364 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 1 0 0 0 1 0 1 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 0 1 1 0 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 1 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 0 0 1 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 1 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 1 1 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 0 0 0 0 1 1 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 1 0 1 1 1 0 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 1 1 1 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 0 0 1 1 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 1 1 0 0 1 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 0 0 0 1 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 334 obs. of 7 variables:
#> .. ..$ from : chr [1:334] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:334] "equalize_incomes_-" "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:334] 0.029 0.1764 0.1364 0.3591 0.0269 ...
#> .. ..$ from.x: num [1:334] 2.02 2.02 2.02 2.02 2.02 ...
#> .. ..$ from.y: num [1:334] 0.113 0.113 0.113 0.113 0.113 ...
#> .. ..$ to.x : num [1:334] 2.02 4.63 3.24 2.97 4.89 ...
#> .. ..$ to.y : num [1:334] 1.8316 1.0362 -2.1727 0.0262 -0.3923 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.02 3.94 2.39 4.06 -8.74 ...
#> .. ..$ y : num [1:40] 0.113 -0.659 1.051 -2.207 0.623 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.892 1.091 0.696 0.68 0.296 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 0 1 1 1 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 1 0 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 1 0 1 1 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 1 1 0 0 1 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 0 1 1 0 1 0 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 1 0 1 1 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 1 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 1 1 0 1 0 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 1 1 1 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 341 obs. of 7 variables:
#> .. ..$ from : chr [1:341] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:341] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:341] 0.215 0.238 0.261 0.114 0.17 ...
#> .. ..$ from.x: num [1:341] 3.49 3.49 3.49 3.49 3.49 ...
#> .. ..$ from.y: num [1:341] 0.467 0.467 0.467 0.467 0.467 ...
#> .. ..$ to.x : num [1:341] 4.81 2.22 3.79 5.15 2.85 ...
#> .. ..$ to.y : num [1:341] 0.5361 -1.6806 -0.2502 -0.0689 0.9406 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.49 4.51 1.07 2.73 -8.69 ...
#> .. ..$ y : num [1:40] 0.467 -1.47 -0.441 2.112 -0.532 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.037 1.167 0.511 0.885 0.26 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 0 0 0 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 0 1 0 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 1 0 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 0 0 1 0 1 1 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 1 0 1 0 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 1 1 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 1 0 0 1 0 0 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 1 0 0 0 1 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 1 0 1 0 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 336 obs. of 7 variables:
#> .. ..$ from : chr [1:336] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:336] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:336] 0.2798 0.0529 0.2033 0.1814 0.1768 ...
#> .. ..$ from.x: num [1:336] 3.65 3.65 3.65 3.65 3.65 ...
#> .. ..$ from.y: num [1:336] 1.71 1.71 1.71 1.71 1.71 ...
#> .. ..$ to.x : num [1:336] 4.71 3.48 3.27 6.2 2.75 ...
#> .. ..$ to.y : num [1:336] 0.973 -2.579 0.233 0.189 0.816 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.647 4.748 0.577 4.84 -8.69 ...
#> .. ..$ y : num [1:40] 1.712 -0.768 -0.482 -1.412 -0.364 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.256 1.062 0.711 1.029 0.298 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 1 1 1 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 0 0 0 1 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 1 0 1 1 1 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 1 1 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 0 0 1 1 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 0 0 1 1 1 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 1 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 345 obs. of 7 variables:
#> .. ..$ from : chr [1:345] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:345] "equalize_incomes_--" "equalize_incomes_+" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:345] 0.089386 0.000905 0.084174 0.247601 0.077862 ...
#> .. ..$ from.x: num [1:345] 2.34 2.34 2.34 2.34 2.34 ...
#> .. ..$ from.y: num [1:345] 2.15 2.15 2.15 2.15 2.15 ...
#> .. ..$ to.x : num [1:345] 5.41 -3.59 3.89 4.71 3.12 ...
#> .. ..$ to.y : num [1:345] 0.593 0.594 -0.725 0.378 0.789 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.34 4.66 1.12 2.71 -9.18 ...
#> .. ..$ y : num [1:40] 2.1509 -0.4427 -1.4809 -1.8045 -0.0309 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.968 1.167 0.571 0.839 0.337 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 1 0 0 1 1 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 0 0 1 1 0 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 1 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 1 0 0 1 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 1 0 0 0 0 1 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 0 1 0 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 0 1 1 0 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 1 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 1 0 0 1 0 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 0 0 1 1 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 333 obs. of 7 variables:
#> .. ..$ from : chr [1:333] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:333] "equalize_incomes_-" "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:333] 0.0311 0.0875 0.0136 0.0902 0.1623 ...
#> .. ..$ from.x: num [1:333] 1.26 1.26 1.26 1.26 1.26 ...
#> .. ..$ from.y: num [1:333] 0.884 0.884 0.884 0.884 0.884 ...
#> .. ..$ to.x : num [1:333] 2.83 4.57 3.17 2.34 4.16 ...
#> .. ..$ to.y : num [1:333] 1.604 0.318 -2.069 -0.349 0.904 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.26 5.83 2.04 4.35 -8.39 ...
#> .. ..$ y : num [1:40] 0.884 -1.433 0.367 -0.688 -0.821 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1 0.962 0.737 0.967 0.356 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 0 0 0 0 1 1 1 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 0 0 1 1 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 0 0 0 1 0 0 0 1 1 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 0 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 1 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 1 1 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 1 0 0 0 0 1 1 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 1 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 0 0 1 1 1 0 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 0 0 1 1 1 0 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 1 1 1 1 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 1 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 1 0 0 1 1 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 336 obs. of 7 variables:
#> .. ..$ from : chr [1:336] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:336] "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_--" "welfare_spending_-" ...
#> .. ..$ weight: num [1:336] 0.30137 0.16354 0.21439 0.00574 0.10368 ...
#> .. ..$ from.x: num [1:336] 3.68 3.68 3.68 3.68 3.68 ...
#> .. ..$ from.y: num [1:336] -1.67 -1.67 -1.67 -1.67 -1.67 ...
#> .. ..$ to.x : num [1:336] 5.29 3.01 5.54 3.66 5.92 ...
#> .. ..$ to.y : num [1:336] 0.032 0.15 -0.79 0.18 0.758 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.682 4.282 0.862 4.444 -10.689 ...
#> .. ..$ y : num [1:40] -1.6656 -1.3367 1.1982 0.0593 0.3187 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.05 0.935 0.534 1.062 0.336 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 1 0 1 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 1 0 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 0 1 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 1 0 1 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 1 0 1 0 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 1 1 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 1 1 1 0 1 0 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 1 1 1 0 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 1 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 0 1 1 0 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 1 0 1 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 1 0 1 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 348 obs. of 7 variables:
#> .. ..$ from : chr [1:348] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:348] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:348] 0.2642 0.0824 0.1765 0.1024 0.0203 ...
#> .. ..$ from.x: num [1:348] 3.86 3.86 3.86 3.86 3.86 ...
#> .. ..$ from.y: num [1:348] -0.36 -0.36 -0.36 -0.36 -0.36 ...
#> .. ..$ to.x : num [1:348] 5.496 2.831 3.395 5.417 0.824 ...
#> .. ..$ to.y : num [1:348] 0.748 -2.246 0.184 0.196 -0.685 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.86 4.11 1.5 3.35 -9.79 ...
#> .. ..$ y : num [1:40] -0.36 -1.528 0.335 0.74 -0.505 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1 1.286 0.547 1 0.288 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 1 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 1 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 1 1 0 1 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 1 0 0 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 0 1 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 0 1 0 1 1 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 1 0 1 0 0 1 0 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 0 1 1 0 1 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 1 0 1 1 1 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 1 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 1 1 0 0 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 1 0 0 1 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 0 1 0 0 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 337 obs. of 7 variables:
#> .. ..$ from : chr [1:337] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:337] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:337] 0.1483 0.0526 0.0868 0.2347 0.0101 ...
#> .. ..$ from.x: num [1:337] 2.76 2.76 2.76 2.76 2.76 ...
#> .. ..$ from.y: num [1:337] 0.18 0.18 0.18 0.18 0.18 ...
#> .. ..$ to.x : num [1:337] 4.67 3.66 3.39 5.12 -3.31 ...
#> .. ..$ to.y : num [1:337] -0.979 2.162 -0.286 -0.34 0.64 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.76 6.44 1.2 4.15 -9.68 ...
#> .. ..$ y : num [1:40] 0.18 -0.53 0.299 1.525 -0.48 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.111 1.154 0.655 0.824 0.328 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 1 0 0 1 1 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 1 0 1 1 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 0 0 0 1 1 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 1 1 0 1 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 0 1 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 0 1 1 0 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 0 0 1 1 0 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 1 1 0 1 0 0 0 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 1 0 0 1 1 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 1 1 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 332 obs. of 7 variables:
#> .. ..$ from : chr [1:332] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:332] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:332] 0.2296 0.0236 0.1299 0.183 0.0484 ...
#> .. ..$ from.x: num [1:332] 4.09 4.09 4.09 4.09 4.09 ...
#> .. ..$ from.y: num [1:332] 1.55 1.55 1.55 1.55 1.55 ...
#> .. ..$ to.x : num [1:332] 5.26 4 3.67 5.3 3.43 ...
#> .. ..$ to.y : num [1:332] 1.28 -2.451 -0.494 -0.793 0.895 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 4.09 6.33 1.78 2.82 -9.52 ...
#> .. ..$ y : num [1:40] 1.552 -0.537 0.381 -2.125 -0.345 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.31 1.04 0.71 1 0.27 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 1 1 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 0 0 1 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 0 1 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 1 0 1 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 1 1 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 1 0 1 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 1 1 1 0 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 0 0 1 1 1 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 0 1 0 1 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 1 1 0 0 1 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 1 0 1 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 339 obs. of 7 variables:
#> .. ..$ from : chr [1:339] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:339] "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_--" "welfare_spending_-" ...
#> .. ..$ weight: num [1:339] 0.3722 0.185 0.1129 0.0991 0.136 ...
#> .. ..$ from.x: num [1:339] 3.4 3.4 3.4 3.4 3.4 ...
#> .. ..$ from.y: num [1:339] 0.519 0.519 0.519 0.519 0.519 ...
#> .. ..$ to.x : num [1:339] 4.98 3.34 4.61 3.87 0.16 ...
#> .. ..$ to.y : num [1:339] 0.0674 -0.1966 -1.2128 1.1861 -0.3729 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.4 2.88 2.4 2.45 -9.17 ...
#> .. ..$ y : num [1:40] 0.519 -1.017 1.875 -2.01 -0.676 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.341 0.893 0.678 0.857 0.279 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 0 1 1 1 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 0 0 1 1 1 1 1 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 0 0 1 1 1 0 1 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 0 0 1 1 1 0 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 0 1 1 1 0 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 1 1 1 1 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 0 1 1 1 1 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 348 obs. of 7 variables:
#> .. ..$ from : chr [1:348] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:348] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:348] 0.19065 0.00338 0.04408 0.26146 0.09638 ...
#> .. ..$ from.x: num [1:348] 3.4 3.4 3.4 3.4 3.4 ...
#> .. ..$ from.y: num [1:348] 0.0954 0.0954 0.0954 0.0954 0.0954 ...
#> .. ..$ to.x : num [1:348] 6.02 -1.55 2.89 4.02 4.85 ...
#> .. ..$ to.y : num [1:348] -0.764 0.583 2.906 0.276 -0.271 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.4 4.52 1.6 3.29 -10.19 ...
#> .. ..$ y : num [1:40] 0.0954 -1.1661 -0.7297 1.3829 -0.1319 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.125 1.083 0.714 1.135 0.314 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 1 1 0 0 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 1 1 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 1 0 0 0 1 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 0 0 1 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 1 0 0 0 1 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 0 0 1 0 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 1 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 1 1 0 0 1 0 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 1 0 1 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 1 1 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 1 0 0 0 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 338 obs. of 7 variables:
#> .. ..$ from : chr [1:338] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:338] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:338] 0.1379 0.0401 0.2229 0.0561 0.0197 ...
#> .. ..$ from.x: num [1:338] 2.8 2.8 2.8 2.8 2.8 ...
#> .. ..$ from.y: num [1:338] 1.37 1.37 1.37 1.37 1.37 ...
#> .. ..$ to.x : num [1:338] 4.27 3.82 3.04 4.15 -3.72 ...
#> .. ..$ to.y : num [1:338] -0.886 2.202 0.377 -1.798 1.416 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.8 2.6 2.12 2.25 -9.41 ...
#> .. ..$ y : num [1:40] 1.366 -2.1 0.248 -0.859 0.522 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.875 1.091 0.755 1.031 0.325 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 0 1 1 1 0 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 0 0 1 0 1 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 1 1 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 1 0 0 1 0 1 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 1 1 1 1 1 0 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 0 1 0 1 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 1 0 1 0 0 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 1 0 1 0 0 1 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 1 0 0 1 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 342 obs. of 7 variables:
#> .. ..$ from : chr [1:342] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:342] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:342] 0.2646 0.1073 0.3102 0.0875 0.1297 ...
#> .. ..$ from.x: num [1:342] 5.41 5.41 5.41 5.41 5.41 ...
#> .. ..$ from.y: num [1:342] 0.288 0.288 0.288 0.288 0.288 ...
#> .. ..$ to.x : num [1:342] 5.19 2.94 4.3 2.67 3.81 ...
#> .. ..$ to.y : num [1:342] -0.907 0.776 -0.13 -2.193 0.723 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 5.412 1.812 1.873 0.789 -8.676 ...
#> .. ..$ y : num [1:40] 0.288 -0.507 0.959 -0.919 -0.543 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.933 1.089 0.849 0.676 0.358 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 1 1 1 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 0 1 0 1 0 0 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 0 0 1 0 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 1 0 1 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 1 1 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 0 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 1 0 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 0 0 1 0 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 0 1 1 1 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 1 1 0 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 333 obs. of 7 variables:
#> .. ..$ from : chr [1:333] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:333] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:333] 0.05905 0.00341 0.07924 0.14559 0.13784 ...
#> .. ..$ from.x: num [1:333] 1.85 1.85 1.85 1.85 1.85 ...
#> .. ..$ from.y: num [1:333] -0.835 -0.835 -0.835 -0.835 -0.835 ...
#> .. ..$ to.x : num [1:333] 5.13 -2.59 3.4 3.26 6.09 ...
#> .. ..$ to.y : num [1:333] 0.765 -0.644 -1.549 0.587 -0.206 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.85 4.72 1.19 4.59 -9.33 ...
#> .. ..$ y : num [1:40] -0.835 -0.126 1.223 -1.416 -0.205 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.837 1.127 0.725 0.962 0.313 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 1 1 0 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 0 1 1 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 1 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 1 0 0 0 1 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 0 0 1 1 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 0 0 1 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 1 1 1 0 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 1 0 0 0 1 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 1 0 0 0 1 0 1 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 1 0 1 1 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 330 obs. of 7 variables:
#> .. ..$ from : chr [1:330] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:330] "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_--" "keep_immigrants_+/-" ...
#> .. ..$ weight: num [1:330] 0.2415 0.1843 0.1284 0.1454 0.0333 ...
#> .. ..$ from.x: num [1:330] 3.44 3.44 3.44 3.44 3.44 ...
#> .. ..$ from.y: num [1:330] 2.23 2.23 2.23 2.23 2.23 ...
#> .. ..$ to.x : num [1:330] 5.12 3.9 4.69 1.12 3.16 ...
#> .. ..$ to.y : num [1:330] 1.22 0.231 0.579 -0.262 0.493 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.44 4.78 1.96 2.56 -8.19 ...
#> .. ..$ y : num [1:40] 2.2265 -1.3168 -0.9781 -0.3531 0.0618 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.293 1.282 0.792 0.792 0.308 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 1 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 0 0 0 1 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 1 1 1 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 1 1 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 1 1 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 0 0 0 0 1 0 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 1 1 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 1 0 1 0 1 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 1 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 0 1 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 331 obs. of 7 variables:
#> .. ..$ from : chr [1:331] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:331] "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_--" "welfare_spending_-" ...
#> .. ..$ weight: num [1:331] 0.2606 0.2029 0.2397 0.0764 0.0723 ...
#> .. ..$ from.x: num [1:331] 4.43 4.43 4.43 4.43 4.43 ...
#> .. ..$ from.y: num [1:331] 0.861 0.861 0.861 0.861 0.861 ...
#> .. ..$ to.x : num [1:331] 5.61 3.83 4.69 2.9 6.3 ...
#> .. ..$ to.y : num [1:331] 0.366 0.523 -1.001 1.811 -0.198 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 4.43 3.49 1.12 2.07 -8.49 ...
#> .. ..$ y : num [1:40] 0.861 -0.464 -0.123 -2.104 -0.168 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.025 1.167 0.64 0.677 0.313 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 0 0 1 1 0 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 1 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 1 1 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 0 0 0 0 1 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 0 1 1 1 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 0 0 1 0 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 0 0 1 1 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 1 0 0 1 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 338 obs. of 7 variables:
#> .. ..$ from : chr [1:338] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:338] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:338] 0.1865 0.0995 0.2338 0.0508 0.0944 ...
#> .. ..$ from.x: num [1:338] 3.38 3.38 3.38 3.38 3.38 ...
#> .. ..$ from.y: num [1:338] 1.39 1.39 1.39 1.39 1.39 ...
#> .. ..$ to.x : num [1:338] 4.66 2.6 3.72 5.39 1.42 ...
#> .. ..$ to.y : num [1:338] -0.866 2.562 -0.905 0.487 0.799 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.383 4.716 0.764 4.497 -9.41 ...
#> .. ..$ y : num [1:40] 1.387 -1.711 -0.607 1.061 0.349 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.167 1.024 0.577 1.032 0.339 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 0 1 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 1 1 1 1 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 1 1 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 1 0 0 0 1 1 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 1 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 1 1 1 1 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 1 1 0 1 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 1 0 0 1 0 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 0 0 0 1 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 1 1 1 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 0 0 0 0 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 338 obs. of 7 variables:
#> .. ..$ from : chr [1:338] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:338] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:338] 0.0655 0.0634 0.0087 0.0414 0.2585 ...
#> .. ..$ from.x: num [1:338] 1.36 1.36 1.36 1.36 1.36 ...
#> .. ..$ from.y: num [1:338] 1.82 1.82 1.82 1.82 1.82 ...
#> .. ..$ to.x : num [1:338] 4.69 -1.05 5.38 3.46 5.27 ...
#> .. ..$ to.y : num [1:338] 1.224 -1.138 -1.337 0.131 1.334 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.36 5.17 1.8 4.55 -11.89 ...
#> .. ..$ y : num [1:40] 1.824 0.115 -0.545 -0.942 0.805 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.12 1.087 0.621 0.931 0.301 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 0 1 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 1 0 1 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 1 1 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 1 0 0 0 1 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 1 0 1 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 1 0 1 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 0 1 0 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 1 0 1 1 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 1 0 1 0 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 1 0 1 0 1 1 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 334 obs. of 7 variables:
#> .. ..$ from : chr [1:334] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:334] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:334] 0.2075 0.0577 0.2681 0.0345 0.0283 ...
#> .. ..$ from.x: num [1:334] 4.79 4.79 4.79 4.79 4.79 ...
#> .. ..$ from.y: num [1:334] 1.25 1.25 1.25 1.25 1.25 ...
#> .. ..$ to.x : num [1:334] 5.464 2.632 4.169 4.616 0.487 ...
#> .. ..$ to.y : num [1:334] 0.11151 -1.80071 0.47585 -0.99448 -0.00298 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 4.79 3.58 1.33 2.42 -8.71 ...
#> .. ..$ y : num [1:40] 1.248 -1.436 0.458 1.359 0.351 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.179 1.059 0.585 1.05 0.305 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 0 1 0 1 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 1 1 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 1 1 1 0 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 1 0 1 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 0 0 0 0 1 1 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 1 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 1 1 0 1 0 1 1 0 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 1 0 1 1 1 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 1 1 1 1 0 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 1 1 0 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 343 obs. of 7 variables:
#> .. ..$ from : chr [1:343] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:343] "equalize_incomes_--" "equalize_incomes_+/-" "equalize_incomes_++" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:343] 0.19946 0.05276 0.00133 0.15639 0.28033 ...
#> .. ..$ from.x: num [1:343] 3.7 3.7 3.7 3.7 3.7 ...
#> .. ..$ from.y: num [1:343] 0.861 0.861 0.861 0.861 0.861 ...
#> .. ..$ to.x : num [1:343] 4.59 4 -11.34 3.05 5.32 ...
#> .. ..$ to.y : num [1:343] 1.397 -2.192 -0.137 -0.672 1.386 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.7018 4.5173 -0.0711 3.4984 -8.7883 ...
#> .. ..$ y : num [1:40] 0.861 -1.008 -1.577 1.397 0.9 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.03 1.044 0.554 1 0.332 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 1 0 0 1 1 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 1 1 0 0 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 0 1 0 1 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 1 0 1 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 1 0 0 1 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 1 1 0 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 1 1 1 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 0 1 1 0 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 1 1 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 0 1 0 1 1 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 1 0 1 0 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 330 obs. of 7 variables:
#> .. ..$ from : chr [1:330] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:330] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:330] 0.1667 0.1146 0.1916 0.1064 0.0185 ...
#> .. ..$ from.x: num [1:330] 1.97 1.97 1.97 1.97 1.97 ...
#> .. ..$ from.y: num [1:330] 1.31 1.31 1.31 1.31 1.31 ...
#> .. ..$ to.x : num [1:330] 4.36 4.17 2.39 5.12 1.24 ...
#> .. ..$ to.y : num [1:330] -1.021 1.913 0.601 -1.089 0.653 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.97 4.99 1.63 3.23 -7.51 ...
#> .. ..$ y : num [1:40] 1.315 0.313 -0.955 -1.608 0.487 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.969 1.127 0.796 0.857 0.338 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 0 1 0 0 0 0 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 0 1 1 1 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 1 0 1 0 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 0 0 1 1 0 1 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 0 1 1 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 0 1 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 1 0 1 1 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 0 1 0 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 325 obs. of 7 variables:
#> .. ..$ from : chr [1:325] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:325] "equalize_incomes_--" "equalize_incomes_++" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:325] 0.13474 0.04061 0.1877 0.1863 0.00965 ...
#> .. ..$ from.x: num [1:325] 1.1 1.1 1.1 1.1 1.1 ...
#> .. ..$ from.y: num [1:325] -1.55 -1.55 -1.55 -1.55 -1.55 ...
#> .. ..$ to.x : num [1:325] 5.1812 -10.113 3.1497 4.7199 -0.0197 ...
#> .. ..$ to.y : num [1:325] -0.458 -0.889 -0.872 -1.471 2.566 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.1 3.4 3.81 5.67 -9.15 ...
#> .. ..$ y : num [1:40] -1.5531 -1.8189 2.4145 1.1297 0.0171 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.947 0.843 0.71 0.857 0.253 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 1 0 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 0 0 1 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 1 0 0 0 1 1 1 1 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 1 0 0 1 1 1 1 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 0 0 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 0 1 0 1 1 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 1 0 1 0 0 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 1 1 0 1 0 0 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 1 0 1 0 1 0 1 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 343 obs. of 7 variables:
#> .. ..$ from : chr [1:343] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:343] "equalize_incomes_-" "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:343] 0.00698 0.21279 0.04993 0.17415 0.07869 ...
#> .. ..$ from.x: num [1:343] 3.13 3.13 3.13 3.13 3.13 ...
#> .. ..$ from.y: num [1:343] 1.72 1.72 1.72 1.72 1.72 ...
#> .. ..$ to.x : num [1:343] 2.72 5.3 2.57 3.74 5.18 ...
#> .. ..$ to.y : num [1:343] -1.686 0.405 2.332 -0.136 -0.384 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.13 3.75 3.69 2.42 -9.61 ...
#> .. ..$ y : num [1:40] 1.723 -2.0779 1.1971 0.0953 -0.3057 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.071 1.018 0.773 1.048 0.378 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 1 0 0 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 1 0 0 0 0 1 1 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 1 0 1 0 1 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 0 1 1 0 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 1 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 1 1 0 0 1 1 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 1 0 0 1 0 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 1 0 0 1 1 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 1 0 0 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 328 obs. of 7 variables:
#> .. ..$ from : chr [1:328] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:328] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "welfare_spending_-" ...
#> .. ..$ weight: num [1:328] 0.1974 0.0402 0.2861 0.0349 0.109 ...
#> .. ..$ from.x: num [1:328] 1.99 1.99 1.99 1.99 1.99 ...
#> .. ..$ from.y: num [1:328] 1.41 1.41 1.41 1.41 1.41 ...
#> .. ..$ to.x : num [1:328] 4.88 3.47 3.26 3.79 -1.34 ...
#> .. ..$ to.y : num [1:328] 0.612 -2.288 0.574 -0.316 1.421 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 1.99 6.55 0.51 3.59 -9.7 ...
#> .. ..$ y : num [1:40] 1.4117 0.0907 -0.5348 -1.492 -0.5826 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.278 0.961 0.377 0.875 0.311 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 1 0 0 0 0 0 1 1 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 1 1 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 0 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 1 0 0 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 1 0 1 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 0 1 0 0 0 0 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 1 0 1 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 1 0 1 0 0 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 0 0 1 1 0 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 0 1 1 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 1 0 0 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 342 obs. of 7 variables:
#> .. ..$ from : chr [1:342] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:342] "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_--" "keep_immigrants_+/-" ...
#> .. ..$ weight: num [1:342] 0.283 0.2338 0.1369 0.0153 0.0435 ...
#> .. ..$ from.x: num [1:342] 4.1 4.1 4.1 4.1 4.1 ...
#> .. ..$ from.y: num [1:342] 2.08 2.08 2.08 2.08 2.08 ...
#> .. ..$ to.x : num [1:342] 5.81 3.71 5.98 1.65 5.58 ...
#> .. ..$ to.y : num [1:342] 0.619 0.407 -0.91 1.683 -0.208 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 4.1 3.914 0.772 4.888 -9.958 ...
#> .. ..$ y : num [1:40] 2.079 -0.8 -0.574 -0.587 0.307 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.083 1.059 0.552 1.172 0.284 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 0 1 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 1 0 1 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 1 0 0 0 1 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 1 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 1 0 0 0 1 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 1 1 1 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 0 0 1 1 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 1 1 0 0 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 1 0 1 1 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 1 1 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 336 obs. of 7 variables:
#> .. ..$ from : chr [1:336] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:336] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:336] 0.1318 0.00806 0.07361 0.13259 0.29662 ...
#> .. ..$ from.x: num [1:336] 3.5 3.5 3.5 3.5 3.5 ...
#> .. ..$ from.y: num [1:336] -0.822 -0.822 -0.822 -0.822 -0.822 ...
#> .. ..$ to.x : num [1:336] 5.11 -1.37 2.31 2.49 4.69 ...
#> .. ..$ to.y : num [1:336] 0.283 0.155 -0.812 1.038 -0.458 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 3.5 2.21 2.53 3.61 -9.35 ...
#> .. ..$ y : num [1:40] -0.822 -2.307 2.491 -1.7 0.75 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.054 0.78 0.676 0.905 0.35 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 1 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 1 1 0 0 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 1 0 1 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 0 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 1 0 1 0 1 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 1 1 0 0 0 0 1 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 1 1 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 1 0 1 0 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 1 0 1 0 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 1 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 1 1 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 0 1 1 0 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 349 obs. of 7 variables:
#> .. ..$ from : chr [1:349] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:349] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:349] 0.3973 0.059 0.2162 0.2193 0.0618 ...
#> .. ..$ from.x: num [1:349] 4.67 4.67 4.67 4.67 4.67 ...
#> .. ..$ from.y: num [1:349] -1.57 -1.57 -1.57 -1.57 -1.57 ...
#> .. ..$ to.x : num [1:349] 5.28 2.24 2.24 5.23 3.49 ...
#> .. ..$ to.y : num [1:349] -0.62 -2.417 -0.693 0.929 0.798 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 4.673 3.767 0.956 2.824 -8.79 ...
#> .. ..$ y : num [1:40] -1.569 1.671 -0.188 -0.064 -0.517 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.25 1.019 0.49 0.968 0.287 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 0 1 1 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 1 0 0 1 1 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 1 0 0 1 1 0 1 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 0 0 0 1 1 0 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 1 1 1 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 0 1 0 0 0 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 0 0 0 0 1 1 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 1 1 0 0 1 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 339 obs. of 7 variables:
#> .. ..$ from : chr [1:339] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:339] "equalize_incomes_-" "equalize_incomes_--" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:339] 0.0284 0.1613 0.2193 0.0675 0.0028 ...
#> .. ..$ from.x: num [1:339] 2.63 2.63 2.63 2.63 2.63 ...
#> .. ..$ from.y: num [1:339] 0.663 0.663 0.663 0.663 0.663 ...
#> .. ..$ to.x : num [1:339] 2.06 5.25 3.45 4.97 2.24 ...
#> .. ..$ to.y : num [1:339] -0.7902 0.0736 0.6254 -1.5502 1.8114 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.628 3.204 0.925 4.128 -9.324 ...
#> .. ..$ y : num [1:40] 0.663 -1.09 -0.172 -0.971 -0.358 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.031 1.068 0.696 1 0.31 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 1 0 1 0 1 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 0 1 1 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 0 1 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 0 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 0 1 0 0 0 1 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 0 1 0 1 1 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 0 1 0 1 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 0 1 1 0 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 337 obs. of 7 variables:
#> .. ..$ from : chr [1:337] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:337] "equalize_incomes_--" "equalize_incomes_+" "equalize_incomes_+/-" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:337] 0.184 0.013 0.093 0.227 0.107 ...
#> .. ..$ from.x: num [1:337] 2.69 2.69 2.69 2.69 2.69 ...
#> .. ..$ from.y: num [1:337] -0.887 -0.887 -0.887 -0.887 -0.887 ...
#> .. ..$ to.x : num [1:337] 5.22 -3 3.04 3.13 5.93 ...
#> .. ..$ to.y : num [1:337] -0.321 0.94 -2.119 -0.128 0.242 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.69 3.7 1.53 4.15 -9.96 ...
#> .. ..$ y : num [1:40] -0.887 -1.145 -0.255 1.791 0.321 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.84 1.182 0.825 1.065 0.38 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 1 1 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 1 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 1 1 0 0 0 0 1 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 1 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 1 1 1 1 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 1 1 1 0 0 1 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 1 1 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 7
#> ..$ ResIN_edgelist :'data.frame': 339 obs. of 7 variables:
#> .. ..$ from : chr [1:339] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:339] "equalize_incomes_--" "equalize_incomes_+/-" "equalize_incomes_++" "keep_immigrants_-" ...
#> .. ..$ weight: num [1:339] 0.0875 0.0467 0.0687 0.0301 0.0995 ...
#> .. ..$ from.x: num [1:339] 0.625 0.625 0.625 0.625 0.625 ...
#> .. ..$ from.y: num [1:339] -1.42 -1.42 -1.42 -1.42 -1.42 ...
#> .. ..$ to.x : num [1:339] 4.85 1.75 -6.97 2.88 4.37 ...
#> .. ..$ to.y : num [1:339] -0.0708 -2.3484 -1.3022 0.3889 -1.24 ...
#> ..$ ResIN_nodeframe :'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 0.625 4.157 2.193 2.844 -6.942 ...
#> .. ..$ y : num [1:40] -1.4187 -0.0198 1.9549 -1.6596 0.5233 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 1.24 1.229 0.674 1.116 0.296 ...
#> .. ..$ node_label : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ choices : Factor w/ 5 levels "-","--","+","+/-",..: 1 2 3 4 5 1 2 3 4 5 ...
#> ..$ ResIN_ggplot : chr "not generated"
#> ..$ ResIN_scores : chr "not estimated"
#> ..$ graph_stats :List of 2
#> .. ..$ : chr "not estimated"
#> .. ..$ : chr "not estimated"
#> ..$ aux_objects :List of 6
#> .. ..$ adj_matrix : num [1:40, 1:40] 0 0 0 0 0 ...
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. .. .. ..$ : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ same_items : Factor w/ 8 levels "legal_abort",..: 1 1 1 1 1 2 2 2 2 2 ...
#> .. ..$ df_dummies :'data.frame': 402 obs. of 40 variables:
#> .. .. ..$ legal_abort_- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 1 0 1 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 1 0 1 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 1 0 1 0 1 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 0 1 0 1 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 1 0 1 0 1 0 1 ...
#> .. .. ..$ protect_environ_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 0 0 1 1 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 0 0 0 1 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 1 0 0 0 1 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 1 1 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 0 0 1 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 0 0 0 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..$ bipartite_output: chr "not generated"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> [list output truncated]
#> - attr(*, "class")= chr [1:2] "list" "ResIN_boots_executed"