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 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.43 -2.43 -2.43 -2.43 -2.43 ...
#> .. ..$ from.y: num [1:357] 0.199 0.199 0.199 0.199 0.199 ...
#> .. ..$ to.x : num [1:357] -3.91 -3.41 -3.13 -4.58 -3.1 ...
#> .. ..$ to.y : num [1:357] 0.744 -1.675 0.137 0.756 0.793 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.43 -4.4 -1.43 -3.88 8.52 ...
#> .. ..$ y : num [1:40] 0.199 -0.569 0.563 -1.136 0.489 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 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 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 1 1 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 1 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 1 1 0 1 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 1 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 1 0 0 0 0 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 1 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 0 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 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 1 0 1 1 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 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 1 1 1 0 1 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.65 -2.65 -2.65 -2.65 -2.65 ...
#> .. ..$ from.y: num [1:357] -1.18 -1.18 -1.18 -1.18 -1.18 ...
#> .. ..$ to.x : num [1:357] -3.95 -3.46 -2.86 -4.84 -3.12 ...
#> .. ..$ to.y : num [1:357] -0.295 1.591 0.31 -0.534 -0.324 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.65 -4.08 -1.61 -3.89 8.46 ...
#> .. ..$ y : num [1:40] -1.184 -1.348 0.626 1.199 0.331 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 0 0 0 1 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 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 1 1 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 1 0 0 0 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 0 1 1 1 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 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 0 1 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 1 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 0 1 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 1 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 1 0 0 1 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 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] 1 0 0 0 0 0 0 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] 0 0 1 0 1 1 1 0 1 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 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 1 0 0 1 0 1 1 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 1 0 0 1 0 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 1 1 0 0 0 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.53 -2.53 -2.53 -2.53 -2.53 ...
#> .. ..$ from.y: num [1:357] 0.0878 0.0878 0.0878 0.0878 0.0878 ...
#> .. ..$ to.x : num [1:357] -4.01 -3.42 -3.02 -4.57 -3.23 ...
#> .. ..$ to.y : num [1:357] 0.658 -1.6519 -0.0493 0.6781 0.8887 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.53 -4.2 -1.48 -3.9 8.74 ...
#> .. ..$ y : num [1:40] 0.0878 0.00128 0.63767 -1.18359 0.46862 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 1 0 1 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 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 1 0 0 0 1 0 1 0 1 ...
#> .. .. ..$ 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] 1 1 0 1 0 0 1 0 0 1 ...
#> .. .. ..$ 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 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 1 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 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 1 0 1 0 1 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 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 0 1 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 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 1 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 1 1 1 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 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 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] 1 1 0 1 0 1 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 1 0 1 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 1 0 1 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.55 -2.55 -2.55 -2.55 -2.55 ...
#> .. ..$ from.y: num [1:357] 1.27 1.27 1.27 1.27 1.27 ...
#> .. ..$ to.x : num [1:357] -4.05 -3.37 -3.03 -4.56 -3.14 ...
#> .. ..$ to.y : num [1:357] 0.911 -1.6975 -0.0527 0.3181 1.0416 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.55 -4.26 -1.38 -3.76 8.52 ...
#> .. ..$ y : num [1:40] 1.2702 -0.6348 -0.0869 -1.054 -0.3448 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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] 1 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 0 1 1 1 1 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 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 0 1 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 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 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 1 0 0 0 1 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 0 1 0 0 1 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 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 0 1 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 1 0 1 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 0 1 1 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 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 0 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] 1 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 1 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 1 1 0 1 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 0 0 0 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 1 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 1 1 1 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 1 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 0 1 0 0 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.9 -2.9 -2.9 -2.9 -2.9 ...
#> .. ..$ from.y: num [1:357] -0.528 -0.528 -0.528 -0.528 -0.528 ...
#> .. ..$ to.x : num [1:357] -4.06 -3.26 -2.73 -4.52 -2.78 ...
#> .. ..$ to.y : num [1:357] -0.246 1.631 0.28 -0.434 -0.194 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.9 -3.8 -1.42 -3.77 8.52 ...
#> .. ..$ y : num [1:40] -0.528 -0.921 -0.595 1.338 -0.443 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 1 0 1 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 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 0 1 0 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 1 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 1 0 0 0 1 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 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 1 1 0 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 0 1 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 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 0 1 1 1 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 0 0 ...
#> .. .. ..$ protect_environ_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 1 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] 0 0 0 1 0 1 1 0 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ 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 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 0 0 1 0 1 1 0 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 1 1 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] 0 0 0 0 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 1 0 1 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.51 -2.51 -2.51 -2.51 -2.51 ...
#> .. ..$ from.y: num [1:357] 0.334 0.334 0.334 0.334 0.334 ...
#> .. ..$ to.x : num [1:357] -3.97 -3.48 -2.91 -4.44 -3.03 ...
#> .. ..$ to.y : num [1:357] -0.363 1.6264 -0.0369 -0.6864 -0.7305 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.51 -3.78 -1.4 -3.89 8.43 ...
#> .. ..$ y : num [1:40] 0.334 -0.955 -0.55 1.157 0.371 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 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 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 1 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 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 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 1 0 1 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 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 0 0 1 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 0 0 0 0 1 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 1 1 0 1 0 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] 1 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 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 1 0 1 0 1 1 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 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 1 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] 1 0 0 0 0 0 1 1 0 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 1 0 1 1 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 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] 1 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 1 0 1 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ 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"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] 2.53 2.53 2.53 2.53 2.53 ...
#> .. ..$ from.y: num [1:357] 0.821 0.821 0.821 0.821 0.821 ...
#> .. ..$ to.x : num [1:357] 4.05 3.38 3.01 4.66 3.05 ...
#> .. ..$ to.y : num [1:357] 0.589 -1.664 -0.126 0.643 0.523 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.53 3.96 1.55 3.8 -8.44 ...
#> .. ..$ y : num [1:40] 0.821 0.993 -0.688 -0.982 0.367 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 1 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 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 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 1 0 1 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 0 0 0 0 0 1 1 ...
#> .. .. ..$ 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 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 1 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 1 0 1 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 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 1 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 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] 0 1 1 1 1 1 1 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 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 0 0 0 0 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 1 0 0 1 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 1 0 1 1 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.49 -2.49 -2.49 -2.49 -2.49 ...
#> .. ..$ from.y: num [1:357] -0.159 -0.159 -0.159 -0.159 -0.159 ...
#> .. ..$ to.x : num [1:357] -3.96 -3.46 -2.96 -4.56 -3.07 ...
#> .. ..$ to.y : num [1:357] -0.719 1.664 0.113 -0.807 -0.841 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.49 -4.38 -1.39 -3.86 8.51 ...
#> .. ..$ y : num [1:40] -0.1588 0.5716 -0.5159 1.0983 0.0937 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 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 0 0 1 1 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 0 0 0 0 1 1 0 1 ...
#> .. .. ..$ 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 0 0 0 0 1 1 0 1 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 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 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 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 1 0 1 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] 1 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 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 0 1 0 1 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 1 0 1 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 0 1 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 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 0 0 1 0 0 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 0 1 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.6 -2.6 -2.6 -2.6 -2.6 ...
#> .. ..$ from.y: num [1:357] 0.172 0.172 0.172 0.172 0.172 ...
#> .. ..$ to.x : num [1:357] -4.06 -3.43 -3.09 -4.48 -2.8 ...
#> .. ..$ to.y : num [1:357] -0.6223 1.7085 0.0301 0.058 -0.8318 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.6 -3.85 -1.4 -3.9 8.49 ...
#> .. ..$ y : num [1:40] 0.172 -1.144 0.534 1.096 0.482 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 1 0 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 1 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 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 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 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 1 0 1 0 1 0 1 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 1 0 1 0 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 1 0 0 0 0 1 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 1 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 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] 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] 1 0 0 0 0 1 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 1 1 0 0 1 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 0 1 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] 1 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 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] 0 1 0 0 0 1 0 1 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 1 1 1 0 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.47 -2.47 -2.47 -2.47 -2.47 ...
#> .. ..$ from.y: num [1:357] 0.0335 0.0335 0.0335 0.0335 0.0335 ...
#> .. ..$ to.x : num [1:357] -3.95 -3.34 -3.01 -4.39 -3.05 ...
#> .. ..$ to.y : num [1:357] 0.7967 -1.6733 0.00457 0.39665 0.8897 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.47 -4.33 -1.38 -3.74 8.54 ...
#> .. ..$ y : num [1:40] 0.0335 -0.6965 0.594 -1.1746 -0.4698 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 1 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 1 0 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] 1 1 1 0 0 0 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 1 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 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 1 1 0 1 0 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] 0 0 0 0 0 0 1 1 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 1 0 1 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] 1 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 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] 1 1 1 1 1 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 0 1 0 0 1 1 ...
#> .. .. ..$ 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] 0 0 1 1 0 0 1 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 1 1 0 1 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] 2.48 2.48 2.48 2.48 2.48 ...
#> .. ..$ from.y: num [1:357] 0.0617 0.0617 0.0617 0.0617 0.0617 ...
#> .. ..$ to.x : num [1:357] 4.02 3.4 2.99 4.66 3.09 ...
#> .. ..$ to.y : num [1:357] 0.44 -1.592 -0.201 0.766 0.335 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.48 3.91 1.51 3.99 -8.59 ...
#> .. ..$ y : num [1:40] 0.0617 1.3314 0.3595 -1.2993 0.3854 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 1 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] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ 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 1 ...
#> .. .. ..$ 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 0 1 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 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 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 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 1 1 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 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 1 0 0 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 0 0 0 1 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 1 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 1 0 1 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 0 1 1 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 1 0 1 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] 1 0 0 1 0 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 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 1 0 1 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 1 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 1 0 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.51 -2.51 -2.51 -2.51 -2.51 ...
#> .. ..$ from.y: num [1:357] 0.205 0.205 0.205 0.205 0.205 ...
#> .. ..$ to.x : num [1:357] -4.03 -3.41 -3.09 -4.45 -3.11 ...
#> .. ..$ to.y : num [1:357] -0.2376 1.6126 -0.0787 -0.5602 -0.6946 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.51 -3.82 -1.42 -3.9 8.56 ...
#> .. ..$ y : num [1:40] 0.205 -0.948 -0.61 1.226 0.493 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 1 1 0 1 1 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 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 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] 0 1 0 0 1 0 1 1 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 1 1 1 0 1 1 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 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] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 1 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 0 0 0 1 1 1 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 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 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 1 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 0 0 1 1 1 1 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 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 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 1 1 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] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 1 1 1 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 0 0 0 0 1 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.53 -2.53 -2.53 -2.53 -2.53 ...
#> .. ..$ from.y: num [1:357] 0.000809 0.000809 0.000809 0.000809 0.000809 ...
#> .. ..$ to.x : num [1:357] -4.09 -3.37 -3.08 -4.45 -3.01 ...
#> .. ..$ to.y : num [1:357] -0.16275 1.63809 -0.00591 -0.48243 -0.51646 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.53 -3.82 -1.41 -3.88 8.56 ...
#> .. ..$ y : num [1:40] 0.000809 -1.385036 -0.524561 1.273155 -0.322486 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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] 1 1 0 0 1 1 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 1 0 0 1 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 1 0 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 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] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 1 1 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] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 0 0 0 0 1 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 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 1 0 0 1 1 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 ...
#> .. .. ..$ 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 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 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 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 1 0 1 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] 0 0 0 0 1 0 0 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 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 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 1 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] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 1 1 0 1 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.53 -2.53 -2.53 -2.53 -2.53 ...
#> .. ..$ from.y: num [1:357] 0.792 0.792 0.792 0.792 0.792 ...
#> .. ..$ to.x : num [1:357] -4.04 -3.31 -3 -4.55 -3.1 ...
#> .. ..$ to.y : num [1:357] 0.791 -1.607 -0.12 0.317 0.449 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.53 -4.34 -1.46 -3.87 8.58 ...
#> .. ..$ y : num [1:40] 0.792 -0.635 0.531 -1.275 -0.468 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 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 0 0 0 0 ...
#> .. .. ..$ 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 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 1 1 1 1 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] 0 0 0 0 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] 1 1 1 0 1 1 0 1 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 0 0 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] 1 0 1 1 1 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 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 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] 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 1 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 0 0 1 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 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] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 1 0 1 1 0 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.53 -2.53 -2.53 -2.53 -2.53 ...
#> .. ..$ from.y: num [1:357] -0.482 -0.482 -0.482 -0.482 -0.482 ...
#> .. ..$ to.x : num [1:357] -3.96 -3.42 -2.98 -4.47 -3.07 ...
#> .. ..$ to.y : num [1:357] -0.3658 1.6022 0.0917 -0.6264 -0.6181 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.53 -3.98 -1.38 -3.95 8.45 ...
#> .. ..$ y : num [1:40] -0.482 -1.373 -0.515 1.247 -0.407 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 0 0 1 1 0 0 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 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 0 1 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 1 0 1 0 0 1 ...
#> .. .. ..$ 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 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 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 1 0 0 1 0 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 1 0 1 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] 0 1 0 0 0 1 0 1 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : 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] 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] 1 1 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] 0 1 0 0 0 0 0 1 1 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 0 1 1 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 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 1 0 1 0 0 1 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 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ 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 1 0 0 1 0 ...
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#> .. ..$ ResIN_arglist : chr "not stored"
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#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
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#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.41 -2.41 -2.41 -2.41 -2.41 ...
#> .. ..$ from.y: num [1:357] 0.284 0.284 0.284 0.284 0.284 ...
#> .. ..$ to.x : num [1:357] -3.86 -3.37 -2.77 -4.61 -3.1 ...
#> .. ..$ to.y : num [1:357] 0.6988 -1.6431 -0.0886 0.8655 0.5652 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.41 -4.46 -1.38 -3.91 8.45 ...
#> .. ..$ y : num [1:40] 0.284 -0.556 0.595 -1.167 -0.356 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 1 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 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 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 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 1 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] 1 0 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 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 1 0 0 0 1 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 0 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 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 1 0 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] 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 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 0 0 0 0 1 0 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 1 1 1 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 1 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 0 0 0 0 1 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 1 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] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 1 1 1 1 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
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#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.45 -2.45 -2.45 -2.45 -2.45 ...
#> .. ..$ from.y: num [1:357] 0.118 0.118 0.118 0.118 0.118 ...
#> .. ..$ to.x : num [1:357] -3.96 -3.34 -2.97 -4.44 -3.07 ...
#> .. ..$ to.y : num [1:357] 0.7843 -1.6817 -0.0329 0.4366 0.785 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.45 -4.33 -1.42 -3.78 8.51 ...
#> .. ..$ y : num [1:40] 0.118 -0.665 0.598 -1.2 -0.337 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ 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 1 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 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 1 0 1 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 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 0 1 1 1 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 1 1 0 0 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] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 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 1 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] 0 0 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 1 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 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 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 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 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 1 1 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 1 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 0 0 0 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.47 -2.47 -2.47 -2.47 -2.47 ...
#> .. ..$ from.y: num [1:357] -0.0865 -0.0865 -0.0865 -0.0865 -0.0865 ...
#> .. ..$ to.x : num [1:357] -3.9 -3.43 -3.01 -4.43 -3.08 ...
#> .. ..$ to.y : num [1:357] -0.6868 1.6509 0.0118 -0.7352 -1.0072 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.47 -4.1 -1.39 -3.85 8.49 ...
#> .. ..$ y : num [1:40] -0.0865 -0.0918 -0.5782 1.1368 -0.3626 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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] 1 0 1 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 1 0 1 1 1 1 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 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 0 0 0 1 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ 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 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 1 0 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 0 1 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] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 1 1 0 0 1 1 ...
#> .. .. ..$ 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 1 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 0 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] 1 0 1 0 0 0 1 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 0 1 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 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 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 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 1 1 1 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 1 0 0 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.45 -2.45 -2.45 -2.45 -2.45 ...
#> .. ..$ from.y: num [1:357] 0.13 0.13 0.13 0.13 0.13 ...
#> .. ..$ to.x : num [1:357] -3.91 -3.33 -2.91 -4.42 -3.04 ...
#> .. ..$ to.y : num [1:357] 0.7667 -1.6852 -0.0871 0.4783 0.6627 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.45 -4.12 -1.39 -3.82 8.51 ...
#> .. ..$ y : num [1:40] 0.1302 -0.0438 0.5807 -1.2238 -0.4962 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 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 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 0 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 1 0 1 0 0 0 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 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] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 1 1 0 0 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 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] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 1 1 0 0 0 1 1 ...
#> .. .. ..$ 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] 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 0 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 1 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 1 0 1 1 0 0 1 1 1 ...
#> .. .. ..$ 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 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 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 0 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 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 0 1 0 1 1 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 1 0 0 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
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#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.5 -2.5 -2.5 -2.5 -2.5 ...
#> .. ..$ from.y: num [1:357] 0.952 0.952 0.952 0.952 0.952 ...
#> .. ..$ to.x : num [1:357] -4 -3.27 -3.08 -4.45 -2.93 ...
#> .. ..$ to.y : num [1:357] 0.9541 -1.6689 0.0118 0.0566 0.5911 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.5 -4.22 -1.35 -3.74 8.45 ...
#> .. ..$ y : num [1:40] 0.952 -0.683 0.34 -1.162 -0.344 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 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 0 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 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 1 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 1 0 1 0 0 0 0 1 1 ...
#> .. .. ..$ 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 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] 1 1 0 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 1 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] 1 0 0 0 0 0 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 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 1 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 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 0 1 0 0 0 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 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 0 1 0 0 1 0 1 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 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 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 1 0 0 1 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.51 -2.51 -2.51 -2.51 -2.51 ...
#> .. ..$ from.y: num [1:357] 0.172 0.172 0.172 0.172 0.172 ...
#> .. ..$ to.x : num [1:357] -4.01 -3.44 -3.18 -4.63 -3.19 ...
#> .. ..$ to.y : num [1:357] 0.735 -1.672 0.223 0.645 0.903 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.51 -4.44 -1.46 -3.89 8.66 ...
#> .. ..$ y : num [1:40] 0.172 -0.625 0.554 -1.132 -0.476 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 0 1 0 1 0 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 1 0 0 0 1 0 0 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 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 1 1 0 1 1 1 ...
#> .. .. ..$ 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 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 1 1 0 0 1 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 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 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] 1 0 0 1 1 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 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] 1 0 0 1 1 1 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 1 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] 1 0 0 1 1 1 0 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ 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 0 0 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 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 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 1 1 1 0 1 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.45 -2.45 -2.45 -2.45 -2.45 ...
#> .. ..$ from.y: num [1:357] 0.387 0.387 0.387 0.387 0.387 ...
#> .. ..$ to.x : num [1:357] -4.29 -3.42 -2.94 -4.36 -2.75 ...
#> .. ..$ to.y : num [1:357] 0.2372 1.6339 0.0997 -0.5172 -0.4933 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.45 -3.76 -1.36 -3.93 8.33 ...
#> .. ..$ y : num [1:40] 0.387 -1.426 -0.471 1.215 -0.468 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 0 1 1 1 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 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 1 1 1 1 1 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 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 1 1 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 0 0 1 1 1 0 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 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 1 1 0 1 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 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] 1 1 1 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 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 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 1 1 0 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] 0 0 1 1 0 0 1 1 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 0 1 1 0 0 1 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 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] 0 0 1 1 1 0 1 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.49 -2.49 -2.49 -2.49 -2.49 ...
#> .. ..$ from.y: num [1:357] -0.0218 -0.0218 -0.0218 -0.0218 -0.0218 ...
#> .. ..$ to.x : num [1:357] -4.05 -3.43 -2.99 -4.48 -3.05 ...
#> .. ..$ to.y : num [1:357] -0.342 1.658 0.149 -0.739 -0.909 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.49 -3.81 -1.41 -3.92 8.55 ...
#> .. ..$ y : num [1:40] -0.0218 -0.8938 -0.5294 1.1889 0.4355 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ 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] 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 1 1 1 0 0 0 0 1 ...
#> .. .. ..$ 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 1 0 1 1 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 1 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 1 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 1 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] 1 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 0 1 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 1 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 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] 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 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] 0 0 0 1 0 1 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 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 1 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 0 0 0 1 0 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.85 -2.85 -2.85 -2.85 -2.85 ...
#> .. ..$ from.y: num [1:357] 1.35 1.35 1.35 1.35 1.35 ...
#> .. ..$ to.x : num [1:357] -4.1 -3.29 -3.12 -4.5 -2.93 ...
#> .. ..$ to.y : num [1:357] 1.2444 -1.6647 0.0992 0.0431 0.5924 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.85 -4.27 -1.39 -3.76 8.59 ...
#> .. ..$ y : num [1:40] 1.3499 -0.719 0.0121 -1.1715 0.4811 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 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 1 0 0 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 1 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 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 1 1 1 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 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 1 1 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 1 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] 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 0 0 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 1 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] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 1 1 1 0 0 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 1 0 0 1 1 1 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 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 1 0 0 0 1 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 0 0 1 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.48 -2.48 -2.48 -2.48 -2.48 ...
#> .. ..$ from.y: num [1:357] 0.12 0.12 0.12 0.12 0.12 ...
#> .. ..$ to.x : num [1:357] -3.9 -3.37 -3.03 -4.38 -3.02 ...
#> .. ..$ to.y : num [1:357] -0.773 1.659 -0.198 -0.522 -0.806 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.48 -4.1 -1.33 -3.81 8.48 ...
#> .. ..$ y : num [1:40] 0.1198 -0.0126 -0.8089 1.1896 0.4764 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 0 1 0 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 1 0 1 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] 1 0 1 0 1 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 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 0 0 0 0 0 0 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 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 0 0 1 0 0 1 0 1 ...
#> .. .. ..$ 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 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] 1 0 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 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 1 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] 0 0 0 1 1 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 1 0 0 1 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 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 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] 1 0 0 0 1 0 1 1 0 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 1 1 1 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 0 1 0 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.53 -2.53 -2.53 -2.53 -2.53 ...
#> .. ..$ from.y: num [1:357] 0.342 0.342 0.342 0.342 0.342 ...
#> .. ..$ to.x : num [1:357] -4.05 -3.44 -2.94 -4.44 -2.99 ...
#> .. ..$ to.y : num [1:357] -0.543 1.645 -0.146 -0.215 -0.777 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.53 -3.76 -1.37 -3.89 8.45 ...
#> .. ..$ y : num [1:40] 0.342 -0.941 -0.512 1.201 -0.432 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 1 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 1 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 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 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 1 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 1 0 0 1 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 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 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 0 1 0 0 1 0 1 0 1 ...
#> .. .. ..$ 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 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 1 0 0 0 0 1 1 1 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 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 1 1 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 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 1 0 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 0 1 0 0 1 1 1 1 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 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 1 1 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 1 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] 0 1 1 0 0 0 0 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 1 1 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.52 -2.52 -2.52 -2.52 -2.52 ...
#> .. ..$ from.y: num [1:357] 0.468 0.468 0.468 0.468 0.468 ...
#> .. ..$ to.x : num [1:357] -4.24 -3.57 -2.88 -4.43 -3.01 ...
#> .. ..$ to.y : num [1:357] 0.14675 1.62609 0.00431 -0.74277 -0.71471 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.52 -3.73 -1.35 -4.07 8.38 ...
#> .. ..$ y : num [1:40] 0.468 -1.479 -0.277 1.114 -0.45 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 1 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 1 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 1 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 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] 1 0 1 0 1 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 1 0 1 0 0 0 0 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 1 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 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 1 0 0 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 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 1 1 1 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 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 1 0 0 1 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 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 0 1 0 0 1 1 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] 1 0 0 0 0 1 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 1 1 1 1 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 0 0 0 0 0 0 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 0 0 1 0 0 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 0 0 0 0 1 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] 1 1 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 1 0 0 1 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.55 -2.55 -2.55 -2.55 -2.55 ...
#> .. ..$ from.y: num [1:357] 0.885 0.885 0.885 0.885 0.885 ...
#> .. ..$ to.x : num [1:357] -4.09 -3.29 -3.04 -4.52 -3.06 ...
#> .. ..$ to.y : num [1:357] 1.2404 -1.7256 0.1656 -0.0659 0.9288 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.55 -4.25 -1.39 -3.65 8.56 ...
#> .. ..$ y : num [1:40] 0.8846 -0.7705 0.0992 -1.0702 -0.3433 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 1 ...
#> .. .. ..$ 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 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 1 0 0 1 0 0 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] 1 1 1 0 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 1 0 0 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 1 0 0 0 1 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 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 1 0 0 1 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 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 1 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 1 0 0 0 0 0 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 1 0 0 1 1 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 1 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 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] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 1 0 0 0 1 1 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 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 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 1 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 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 1 0 1 0 0 1 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] 2.44 2.44 2.44 2.44 2.44 ...
#> .. ..$ from.y: num [1:357] -0.214 -0.214 -0.214 -0.214 -0.214 ...
#> .. ..$ to.x : num [1:357] 3.88 3.41 2.85 4.7 3.12 ...
#> .. ..$ to.y : num [1:357] -0.75 1.666 0.118 -0.49 -0.836 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.44 4.37 1.41 3.85 -8.55 ...
#> .. ..$ y : num [1:40] -0.214 0.613 -0.565 1.162 -0.486 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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] 0 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 0 0 1 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 1 0 1 1 1 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 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] 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 1 1 0 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 1 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] 0 0 0 1 0 1 1 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 1 ...
#> .. .. ..$ 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] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 0 1 1 1 1 1 1 0 ...
#> .. .. ..$ 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 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 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 1 1 0 1 1 1 0 1 ...
#> .. .. ..$ 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] 0 0 0 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 1 1 1 0 1 1 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.49 -2.49 -2.49 -2.49 -2.49 ...
#> .. ..$ from.y: num [1:357] 0.226 0.226 0.226 0.226 0.226 ...
#> .. ..$ to.x : num [1:357] -3.98 -3.38 -2.93 -4.47 -3.02 ...
#> .. ..$ to.y : num [1:357] 0.717 -1.661 -0.108 0.584 1.197 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.49 -4.32 -1.43 -3.79 8.56 ...
#> .. ..$ y : num [1:40] 0.226 -0.655 0.592 -1.143 0.495 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 0 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 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] 0 1 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 0 0 1 1 0 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 1 1 0 0 0 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 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 1 1 0 1 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 ...
#> .. .. ..$ 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 0 1 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 1 0 1 0 1 1 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 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 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 1 1 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 1 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 1 0 0 0 0 0 1 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : 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 1 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 0 1 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 1 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 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 0 0 0 1 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ 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"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] 2.5 2.5 2.5 2.5 2.5 ...
#> .. ..$ from.y: num [1:357] -0.123 -0.123 -0.123 -0.123 -0.123 ...
#> .. ..$ to.x : num [1:357] 4.06 3.34 3.04 4.56 3.1 ...
#> .. ..$ to.y : num [1:357] 0.4974 -1.7745 0.0183 -0.3226 1.0207 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.5 4.33 1.37 3.7 -8.49 ...
#> .. ..$ y : num [1:40] -0.1235 0.9225 0.0449 -1.0875 0.496 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 1 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 0 0 0 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 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] 1 1 0 0 1 0 0 1 0 1 ...
#> .. .. ..$ 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 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 1 0 0 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 0 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 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 1 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 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 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 1 0 1 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 0 0 1 0 1 1 1 ...
#> .. .. ..$ 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] 0 0 0 0 1 1 1 0 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 1 0 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] 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 0 0 0 1 1 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 1 0 0 0 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 1 1 1 1 0 1 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 0 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.45 -2.45 -2.45 -2.45 -2.45 ...
#> .. ..$ from.y: num [1:357] 0.687 0.687 0.687 0.687 0.687 ...
#> .. ..$ to.x : num [1:357] -3.95 -3.33 -2.99 -4.41 -2.98 ...
#> .. ..$ to.y : num [1:357] 0.8552 -1.6483 -0.0149 0.465 0.8415 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.45 -4.3 -1.36 -3.79 8.41 ...
#> .. ..$ y : num [1:40] 0.687 -0.663 0.49 -1.195 -0.327 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 1 1 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 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] 1 1 1 1 1 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 0 1 0 1 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 1 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 0 0 0 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 1 1 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 1 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 1 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 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 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] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 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] 1 1 0 1 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 1 0 0 1 1 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 0 1 1 0 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.41 -2.41 -2.41 -2.41 -2.41 ...
#> .. ..$ from.y: num [1:357] 0.701 0.701 0.701 0.701 0.701 ...
#> .. ..$ to.x : num [1:357] -3.91 -3.22 -2.83 -4.58 -3.2 ...
#> .. ..$ to.y : num [1:357] 1.06489 -1.72219 -0.00309 0.22519 0.79031 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.41 -4.29 -1.4 -3.67 8.52 ...
#> .. ..$ y : num [1:40] 0.701 -0.787 0.783 -1.211 -0.132 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 0 1 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] 1 0 1 0 1 0 1 1 0 1 ...
#> .. .. ..$ 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 1 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 1 0 1 1 0 1 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 1 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : 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 0 0 ...
#> .. .. ..$ welfare_spending_-- : int [1:402] 0 0 0 0 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 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 0 1 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 1 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] 1 0 1 0 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 1 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 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 0 0 1 0 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 1 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 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] 1 0 0 0 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 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 1 0 1 1 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 0 0 0 1 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.58 -2.58 -2.58 -2.58 -2.58 ...
#> .. ..$ from.y: num [1:357] 0.376 0.376 0.376 0.376 0.376 ...
#> .. ..$ to.x : num [1:357] -4.08 -3.43 -2.94 -4.53 -3.08 ...
#> .. ..$ to.y : num [1:357] -0.344 1.657 -0.116 -0.471 -0.708 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.58 -3.89 -1.42 -3.89 8.66 ...
#> .. ..$ y : num [1:40] 0.376 -0.903 -0.537 1.213 -0.526 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 0 0 0 0 1 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 1 0 0 1 0 1 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 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 1 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 0 0 1 0 1 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 0 0 0 1 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 1 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 1 0 1 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 0 1 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 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 1 1 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 1 0 1 0 0 0 0 1 ...
#> .. .. ..$ 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 1 0 0 0 1 1 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 1 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 0 0 0 1 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 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 1 0 0 1 0 1 0 0 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 1 0 1 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 0 1 0 1 ...
#> .. .. ..$ 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 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 1 0 1 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 1 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 1 0 1 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 0 0 1 0 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.59 -2.59 -2.59 -2.59 -2.59 ...
#> .. ..$ from.y: num [1:357] 0.0317 0.0317 0.0317 0.0317 0.0317 ...
#> .. ..$ to.x : num [1:357] -4.02 -3.49 -3.1 -4.91 -3.15 ...
#> .. ..$ to.y : num [1:357] -0.7259 1.661 0.0412 -0.4413 -0.7536 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.59 -4.58 -1.52 -3.82 8.72 ...
#> .. ..$ y : num [1:40] 0.0317 -0.921 0.5946 0.9812 0.5056 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 0 1 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 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 1 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 0 1 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 1 1 0 0 1 0 0 0 1 ...
#> .. .. ..$ 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 0 1 0 0 0 0 0 1 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 1 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 1 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 0 0 1 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 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 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 1 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 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 1 0 1 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 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 1 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 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 1 0 0 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 1 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 1 1 1 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 0 0 0 0 1 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.44 -2.44 -2.44 -2.44 -2.44 ...
#> .. ..$ from.y: num [1:357] -0.00973 -0.00973 -0.00973 -0.00973 -0.00973 ...
#> .. ..$ to.x : num [1:357] -3.87 -3.41 -2.97 -4.45 -3.09 ...
#> .. ..$ to.y : num [1:357] -0.7063 1.6478 -0.0157 -0.7594 -0.7157 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.44 -4.07 -1.41 -3.88 8.44 ...
#> .. ..$ y : num [1:40] -0.00973 -0.11331 -0.58322 1.16732 -0.50404 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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] 1 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 1 1 1 1 1 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 0 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 1 0 0 1 0 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 1 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 1 0 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 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 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 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 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 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 1 1 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 1 0 0 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 1 0 0 1 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 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 1 0 1 1 1 0 1 ...
#> .. .. ..$ aid_blacks_+/- : 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 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.51 -2.51 -2.51 -2.51 -2.51 ...
#> .. ..$ from.y: num [1:357] 0.32 0.32 0.32 0.32 0.32 ...
#> .. ..$ to.x : num [1:357] -4.02 -3.41 -2.92 -4.42 -3.03 ...
#> .. ..$ to.y : num [1:357] -0.524 1.643 -0.129 -0.22 -0.738 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.51 -3.78 -1.38 -3.88 8.49 ...
#> .. ..$ y : num [1:40] 0.32 -0.96 -0.536 1.226 -0.389 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 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 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 1 1 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] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 1 1 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 1 0 0 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 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] 0 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 1 1 0 1 1 1 0 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 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 0 0 1 0 1 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 1 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 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 0 0 0 1 0 0 1 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 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 0 1 1 0 1 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 1 0 0 1 0 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 1 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 1 0 0 1 1 0 0 1 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 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] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 1 1 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 1 0 0 1 1 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.55 -2.55 -2.55 -2.55 -2.55 ...
#> .. ..$ from.y: num [1:357] 0.841 0.841 0.841 0.841 0.841 ...
#> .. ..$ to.x : num [1:357] -3.98 -3.26 -2.94 -4.4 -3.09 ...
#> .. ..$ to.y : num [1:357] 0.796 -1.65359 -0.00732 0.39936 0.69489 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.55 -4.32 -1.4 -3.77 8.5 ...
#> .. ..$ y : num [1:40] 0.841 -0.749 0.597 -1.26 0.321 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 1 1 0 1 1 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 1 0 0 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 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 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 1 1 1 0 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 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 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 0 0 1 1 1 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 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 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 1 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 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 1 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 0 0 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 1 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] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 0 1 1 1 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 0 0 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.57 -2.57 -2.57 -2.57 -2.57 ...
#> .. ..$ from.y: num [1:357] -0.825 -0.825 -0.825 -0.825 -0.825 ...
#> .. ..$ to.x : num [1:357] -4.39 -3.19 -3.04 -4.87 -3.04 ...
#> .. ..$ to.y : num [1:357] -0.8974 1.6857 -0.1022 0.0711 -0.6543 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.57 -4.12 -1.45 -3.71 8.49 ...
#> .. ..$ y : num [1:40] -0.825 -0.524 0.528 1.118 0.458 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 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 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 1 0 0 0 1 0 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 1 1 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 0 0 0 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 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 1 1 0 1 0 1 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 1 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 1 0 1 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 1 1 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 1 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 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] 1 1 0 1 1 1 1 1 1 1 ...
#> .. .. ..$ 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 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 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] 1 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 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 1 1 1 1 1 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.6 -2.6 -2.6 -2.6 -2.6 ...
#> .. ..$ from.y: num [1:357] 1.16 1.16 1.16 1.16 1.16 ...
#> .. ..$ to.x : num [1:357] -3.88 -3.38 -2.76 -4.66 -3.08 ...
#> .. ..$ to.y : num [1:357] 0.742 -1.601 -0.127 0.862 0.429 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.6 -4.42 -1.37 -3.92 8.41 ...
#> .. ..$ y : num [1:40] 1.161 -0.598 0.501 -1.198 -0.12 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 0 0 1 1 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 1 0 0 0 1 1 1 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 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 0 0 1 0 1 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 1 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] 0 1 0 0 1 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 0 1 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 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 0 0 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 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 1 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] 1 0 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 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 0 1 0 0 1 1 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 1 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] 1 0 0 0 1 1 0 0 1 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 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] 1 1 0 0 1 0 1 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 1 0 1 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 0 0 0 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.51 -2.51 -2.51 -2.51 -2.51 ...
#> .. ..$ from.y: num [1:357] 0.291 0.291 0.291 0.291 0.291 ...
#> .. ..$ to.x : num [1:357] -3.93 -3.38 -3.08 -4.5 -2.95 ...
#> .. ..$ to.y : num [1:357] -0.7942 1.6925 -0.0767 0.2631 -0.7178 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.51 -4.12 -1.6 -3.8 8.43 ...
#> .. ..$ y : num [1:40] 0.291 -1.275 0.56 1.214 -0.155 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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] 1 1 0 1 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 1 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 0 0 1 0 1 0 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 1 1 0 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 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ 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 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 0 1 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] 1 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 1 0 1 1 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 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_- : 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 1 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 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 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 1 0 0 0 0 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 1 0 1 0 0 1 ...
#> .. .. ..$ 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 1 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 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 1 1 0 0 1 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 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"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.56 -2.56 -2.56 -2.56 -2.56 ...
#> .. ..$ from.y: num [1:357] 0.889 0.889 0.889 0.889 0.889 ...
#> .. ..$ to.x : num [1:357] -3.9 -3.35 -2.77 -4.44 -3.06 ...
#> .. ..$ to.y : num [1:357] 0.812 -1.663 -0.134 0.608 0.505 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.56 -4.01 -1.33 -3.88 8.48 ...
#> .. ..$ y : num [1:40] 0.889 0.1 0.299 -1.235 -0.45 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 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 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 0 1 0 0 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 1 0 0 0 0 1 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 1 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 1 1 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 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 0 0 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 1 1 0 0 0 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 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 1 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ 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 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 1 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 0 1 0 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 0 0 1 1 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 1 1 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 1 0 0 0 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 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 1 1 0 0 1 1 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 1 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 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] 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"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.47 -2.47 -2.47 -2.47 -2.47 ...
#> .. ..$ from.y: num [1:357] 0.222 0.222 0.222 0.222 0.222 ...
#> .. ..$ to.x : num [1:357] -4.03 -3.33 -2.97 -4.42 -2.89 ...
#> .. ..$ to.y : num [1:357] -0.1395 1.6583 -0.0502 -0.4476 -0.5218 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.47 -3.84 -1.39 -3.83 8.47 ...
#> .. ..$ y : num [1:40] 0.222 -1.402 -0.549 1.266 -0.523 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 0 1 1 0 1 ...
#> .. .. ..$ 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 0 1 0 0 1 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 1 0 1 1 0 1 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 0 0 0 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 1 1 1 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 0 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 1 1 0 0 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ welfare_spending_++ : 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 1 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 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 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 1 1 0 0 0 0 1 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 0 1 1 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 0 1 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 1 0 0 0 1 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 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 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 0 1 0 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.54 -2.54 -2.54 -2.54 -2.54 ...
#> .. ..$ from.y: num [1:357] 0.201 0.201 0.201 0.201 0.201 ...
#> .. ..$ to.x : num [1:357] -3.92 -3.44 -2.88 -4.83 -3.09 ...
#> .. ..$ to.y : num [1:357] 0.832 -1.732 -0.236 0.578 0.954 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.54 -4.24 -1.4 -3.84 8.49 ...
#> .. ..$ y : num [1:40] 0.2013 -0.405 -0.0302 -1.0073 -0.3625 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 0 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 0 1 1 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 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 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 1 0 0 1 1 1 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 1 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 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 0 0 1 0 1 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 1 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 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 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 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 1 1 1 1 1 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 1 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 1 0 1 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 1 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 1 0 1 0 1 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.66 -2.66 -2.66 -2.66 -2.66 ...
#> .. ..$ from.y: num [1:357] -1.15 -1.15 -1.15 -1.15 -1.15 ...
#> .. ..$ to.x : num [1:357] -3.98 -3.49 -2.98 -4.88 -3.2 ...
#> .. ..$ to.y : num [1:357] -0.204 1.561 0.242 -0.644 -0.417 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.66 -4.4 -1.42 -3.94 8.59 ...
#> .. ..$ y : num [1:40] -1.148 -1.211 0.183 1.161 -0.365 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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] 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 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 0 0 0 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 1 1 1 0 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 0 0 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 1 1 0 1 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 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 0 0 1 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 1 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 0 0 0 1 0 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 1 1 1 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] 0 1 1 0 0 1 1 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 1 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 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 0 0 0 1 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 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 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 0 1 1 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 1 0 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
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#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.56 -2.56 -2.56 -2.56 -2.56 ...
#> .. ..$ from.y: num [1:357] 0.828 0.828 0.828 0.828 0.828 ...
#> .. ..$ to.x : num [1:357] -4.02 -3.25 -3.01 -4.42 -3.12 ...
#> .. ..$ to.y : num [1:357] 1.2077 -1.6957 0.0122 0.3581 0.7802 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.56 -4.29 -1.42 -3.72 8.55 ...
#> .. ..$ y : num [1:40] 0.828 -0.802 0.58 -1.215 0.254 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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] 1 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 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 1 1 1 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] 0 1 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] 1 0 0 1 1 0 0 1 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 0 0 0 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 1 0 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 1 1 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] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 0 0 0 0 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 1 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 0 0 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 1 1 1 1 1 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 1 0 0 0 1 0 0 1 ...
#> .. .. ..$ 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 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] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 0 0 0 1 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 1 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 1 1 0 1 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 0 0 1 0 1 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.47 -2.47 -2.47 -2.47 -2.47 ...
#> .. ..$ from.y: num [1:357] -0.166 -0.166 -0.166 -0.166 -0.166 ...
#> .. ..$ to.x : num [1:357] -3.91 -3.35 -2.93 -4.41 -3.05 ...
#> .. ..$ to.y : num [1:357] 0.756 -1.666 0.177 0.463 0.817 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.47 -4.18 -1.4 -3.79 8.5 ...
#> .. ..$ y : num [1:40] -0.1658 -0.0724 0.579 -1.1968 -0.4822 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 0 0 0 0 0 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 1 0 1 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ 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 0 0 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 1 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 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 0 0 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 1 0 1 1 0 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 0 0 0 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 1 0 0 1 1 0 1 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 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 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 1 0 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 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 0 0 0 1 1 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 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 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 0 0 0 1 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 1 1 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.55 -2.55 -2.55 -2.55 -2.55 ...
#> .. ..$ from.y: num [1:357] 0.451 0.451 0.451 0.451 0.451 ...
#> .. ..$ to.x : num [1:357] -4.05 -3.4 -2.91 -4.45 -3.07 ...
#> .. ..$ to.y : num [1:357] -0.407 1.614 -0.121 -0.13 -0.584 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.55 -3.8 -1.41 -3.89 8.6 ...
#> .. ..$ y : num [1:40] 0.451 -1.002 -0.85 1.268 -0.337 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 1 0 0 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 1 1 0 0 1 0 0 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 1 0 1 1 1 ...
#> .. .. ..$ 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 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 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 1 1 0 1 1 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 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 0 0 0 1 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 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] 1 1 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 1 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 0 1 0 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 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 1 0 1 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 0 0 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 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 1 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] 1 1 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 1 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 0 0 1 1 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.45 -2.45 -2.45 -2.45 -2.45 ...
#> .. ..$ from.y: num [1:357] -0.0759 -0.0759 -0.0759 -0.0759 -0.0759 ...
#> .. ..$ to.x : num [1:357] -3.93 -3.34 -2.96 -4.36 -3.02 ...
#> .. ..$ to.y : num [1:357] 0.796 -1.678 0.114 0.411 0.865 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.45 -4.31 -1.37 -3.74 8.46 ...
#> .. ..$ y : num [1:40] -0.0759 -0.6901 0.5881 -1.1635 -0.4672 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 0 1 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 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 1 0 0 0 0 0 1 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 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 0 0 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 1 0 0 1 1 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 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 1 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 0 0 0 1 0 0 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 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 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] 0 0 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 1 1 0 0 0 1 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 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] 1 0 0 0 1 0 0 0 1 1 ...
#> .. .. ..$ 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 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 0 0 1 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 1 1 0 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.77 -2.77 -2.77 -2.77 -2.77 ...
#> .. ..$ from.y: num [1:357] 0.299 0.299 0.299 0.299 0.299 ...
#> .. ..$ to.x : num [1:357] -4.06 -3.31 -2.91 -4.85 -2.98 ...
#> .. ..$ to.y : num [1:357] 0.775 -1.705 -0.154 0.397 0.93 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.77 -4.19 -1.32 -3.68 8.47 ...
#> .. ..$ y : num [1:40] 0.2991 -0.651 0.0972 -1.0413 0.4777 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 1 1 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 0 0 1 0 0 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 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] 1 0 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 1 1 0 0 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 1 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 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] 0 0 0 0 1 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] 0 0 0 0 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 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 0 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 0 1 1 1 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 0 0 0 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 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ 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 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 0 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 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 1 1 1 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 0 0 0 0 0 1 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.49 -2.49 -2.49 -2.49 -2.49 ...
#> .. ..$ from.y: num [1:357] -0.00486 -0.00486 -0.00486 -0.00486 -0.00486 ...
#> .. ..$ to.x : num [1:357] -3.96 -3.38 -3.02 -4.44 -3.07 ...
#> .. ..$ to.y : num [1:357] 0.759 -1.674 0.112 0.449 0.861 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.49 -4.37 -1.4 -3.78 8.58 ...
#> .. ..$ y : num [1:40] -0.00486 -0.69022 0.59287 -1.15568 -0.47489 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 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 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] 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 1 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 1 0 0 0 1 0 0 1 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 1 0 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 0 0 0 0 0 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 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 1 1 0 1 1 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] 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 1 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] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 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 1 1 1 1 0 1 0 1 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 0 0 0 1 0 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 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 1 1 1 0 1 0 1 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 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 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 1 1 1 1 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.45 -2.45 -2.45 -2.45 -2.45 ...
#> .. ..$ from.y: num [1:357] 0.791 0.791 0.791 0.791 0.791 ...
#> .. ..$ to.x : num [1:357] -3.88 -3.34 -2.91 -4.36 -3.01 ...
#> .. ..$ to.y : num [1:357] 0.8748 -1.6425 -0.0632 0.557 0.7698 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.45 -4.31 -1.32 -3.81 8.36 ...
#> .. ..$ y : num [1:40] 0.791 -0.619 0.481 -1.184 0.428 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 0 1 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 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 1 1 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 1 0 0 0 1 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 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 0 1 1 0 0 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 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] 0 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 0 1 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 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 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 1 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 1 1 0 0 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 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 1 0 0 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 1 0 0 1 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 1 0 1 0 0 0 ...
#> .. .. ..$ 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 1 0 1 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.43 -2.43 -2.43 -2.43 -2.43 ...
#> .. ..$ from.y: num [1:357] 0.137 0.137 0.137 0.137 0.137 ...
#> .. ..$ to.x : num [1:357] -3.96 -3.24 -3.03 -4.41 -2.94 ...
#> .. ..$ to.y : num [1:357] 0.7364 -1.6879 -0.0805 0.407 0.6375 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.43 -4.28 -1.4 -3.72 8.38 ...
#> .. ..$ y : num [1:40] 0.137 -0.699 0.599 -1.219 -0.425 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 ...
#> .. .. ..$ 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 1 1 0 1 1 0 0 1 1 ...
#> .. .. ..$ 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 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 0 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 1 0 0 1 1 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 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 1 0 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 0 0 0 1 0 0 0 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 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 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 1 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] 0 0 0 1 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 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 0 1 0 1 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 0 0 1 0 1 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 1 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 1 0 1 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 0 0 0 1 1 0 0 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 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] 1 1 0 0 1 1 1 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] 2.8 2.8 2.8 2.8 2.8 ...
#> .. ..$ from.y: num [1:357] 1.35 1.35 1.35 1.35 1.35 ...
#> .. ..$ to.x : num [1:357] 3.99 3.35 3 4.56 3.06 ...
#> .. ..$ to.y : num [1:357] 0.925 -1.699 -0.101 0.102 0.726 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.8 4.29 1.41 3.79 -8.58 ...
#> .. ..$ y : num [1:40] 1.346 -0.688 0.389 -1.166 0.334 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 0 1 0 0 1 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 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 1 1 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 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 ...
#> .. .. ..$ 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 1 1 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 0 0 0 0 1 0 1 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 1 1 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 1 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 0 1 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] 1 1 1 1 1 1 0 0 1 1 ...
#> .. .. ..$ 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] 0 0 0 0 1 1 0 1 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 1 1 0 0 0 0 1 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 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 1 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 1 1 0 1 0 0 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 1 0 0 0 0 1 0 0 1 ...
#> .. .. ..$ 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 1 1 1 1 0 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.59 -2.59 -2.59 -2.59 -2.59 ...
#> .. ..$ from.y: num [1:357] 0.928 0.928 0.928 0.928 0.928 ...
#> .. ..$ to.x : num [1:357] -4.09 -3.32 -3.09 -4.47 -3.1 ...
#> .. ..$ to.y : num [1:357] 0.9982 -1.7063 0.0571 -0.0924 0.9536 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.59 -4.25 -1.4 -3.65 8.59 ...
#> .. ..$ y : num [1:40] 0.928 -0.818 0.111 -1.02 -0.37 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 ...
#> .. .. ..$ 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 1 0 1 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 0 0 1 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 1 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 1 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ 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 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 1 1 0 0 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 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 1 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 1 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 0 1 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 1 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 0 0 0 1 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] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 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] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 1 0 0 1 0 1 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.58 -2.58 -2.58 -2.58 -2.58 ...
#> .. ..$ from.y: num [1:357] 0.924 0.924 0.924 0.924 0.924 ...
#> .. ..$ to.x : num [1:357] -4.16 -3.29 -3.11 -4.57 -3.08 ...
#> .. ..$ to.y : num [1:357] 1.219 -1.7201 0.1446 -0.0885 0.8985 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.58 -4.26 -1.42 -3.67 8.67 ...
#> .. ..$ y : num [1:40] 0.924 -0.802 0.206 -1.09 0.43 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 0 0 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 1 1 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 1 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 1 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] 0 1 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ welfare_spending_- : 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 1 0 1 1 1 0 0 0 1 ...
#> .. .. ..$ 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 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 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 1 0 0 1 0 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 0 0 0 1 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 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 0 1 0 0 1 0 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 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 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] 1 0 0 1 1 0 0 1 0 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 1 0 1 1 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] 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"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.56 -2.56 -2.56 -2.56 -2.56 ...
#> .. ..$ from.y: num [1:357] -0.485 -0.485 -0.485 -0.485 -0.485 ...
#> .. ..$ to.x : num [1:357] -4.05 -3.39 -3.02 -4.54 -3.06 ...
#> .. ..$ to.y : num [1:357] -0.239 1.624 0.25 -0.663 -0.763 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.56 -3.91 -1.44 -3.88 8.46 ...
#> .. ..$ y : num [1:40] -0.485 -0.82 -0.587 1.218 -0.33 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 0 0 1 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 1 1 0 1 0 1 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 1 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 1 0 1 0 0 1 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 ...
#> .. .. ..$ 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 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 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 0 1 1 1 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 1 0 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] 1 1 0 0 1 0 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 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] 1 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 1 1 1 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 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 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 0 0 0 0 0 0 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 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 1 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 1 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 1 1 0 1 1 0 1 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 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.51 -2.51 -2.51 -2.51 -2.51 ...
#> .. ..$ from.y: num [1:357] 0.369 0.369 0.369 0.369 0.369 ...
#> .. ..$ to.x : num [1:357] -4 -3.41 -2.97 -4.44 -2.84 ...
#> .. ..$ to.y : num [1:357] -0.431 1.6724 0.0186 -0.2328 -0.4937 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.51 -4.1 -1.38 -3.89 8.5 ...
#> .. ..$ y : num [1:40] 0.369 -1.386 -0.462 1.265 0.325 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 1 0 1 0 0 0 1 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] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 1 1 1 1 0 0 1 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 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 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : 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 1 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 1 1 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 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 1 1 0 0 0 1 1 ...
#> .. .. ..$ welfare_spending_++ : 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 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 1 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 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 1 0 0 0 1 1 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 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] 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 0 0 0 1 0 0 1 1 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 1 1 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 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 0 1 1 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 1 0 0 0 1 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.51 -2.51 -2.51 -2.51 -2.51 ...
#> .. ..$ from.y: num [1:357] 0.812 0.812 0.812 0.812 0.812 ...
#> .. ..$ to.x : num [1:357] -3.92 -3.31 -2.84 -4.78 -3.07 ...
#> .. ..$ to.y : num [1:357] 0.814 -1.65 -0.123 0.671 0.762 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.51 -4.3 -1.39 -3.82 8.42 ...
#> .. ..$ y : num [1:40] 0.812 -0.66 0.562 -1.201 0.313 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 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 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 1 1 0 0 1 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 0 0 0 0 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 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] 1 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 0 1 0 0 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 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] 1 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 1 1 1 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] 1 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 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 1 1 1 1 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 1 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 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 0 0 1 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 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 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 1 0 0 0 1 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.54 -2.54 -2.54 -2.54 -2.54 ...
#> .. ..$ from.y: num [1:357] 0.735 0.735 0.735 0.735 0.735 ...
#> .. ..$ to.x : num [1:357] -3.92 -3.36 -2.97 -4.53 -3.1 ...
#> .. ..$ to.y : num [1:357] 0.789 -1.656 0.018 0.778 0.656 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.54 -4.01 -1.4 -3.88 8.43 ...
#> .. ..$ y : num [1:40] 0.7347 0.1034 0.5684 -1.2037 -0.0891 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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] 1 1 0 0 1 1 0 0 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 0 1 0 1 1 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 1 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 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 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 1 1 1 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 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 0 1 0 1 1 0 1 ...
#> .. .. ..$ 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 1 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 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 1 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 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 0 0 0 1 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 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 1 1 1 1 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 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 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 0 1 1 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.49 -2.49 -2.49 -2.49 -2.49 ...
#> .. ..$ from.y: num [1:357] 0.246 0.246 0.246 0.246 0.246 ...
#> .. ..$ to.x : num [1:357] -3.94 -3.3 -3 -4.49 -3.17 ...
#> .. ..$ to.y : num [1:357] 1.1069 -1.7264 -0.0118 0.3309 0.8161 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.49 -4.33 -1.45 -3.72 8.6 ...
#> .. ..$ y : num [1:40] 0.246 -0.772 0.591 -1.173 0.452 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 1 0 1 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 1 1 0 1 0 1 1 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 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 1 1 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 1 0 0 0 1 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 0 1 0 1 0 0 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 0 0 0 1 1 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 1 1 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : 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 1 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 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 1 0 1 0 1 1 0 1 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 1 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 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 0 0 1 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 1 0 0 0 0 0 0 0 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 1 0 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 1 1 1 0 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 0 0 1 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.57 -2.57 -2.57 -2.57 -2.57 ...
#> .. ..$ from.y: num [1:357] 0.69 0.69 0.69 0.69 0.69 ...
#> .. ..$ to.x : num [1:357] -4 -3.32 -2.99 -4.45 -3.13 ...
#> .. ..$ to.y : num [1:357] 0.817 -1.655 0.111 0.429 0.764 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.57 -4.1 -1.4 -3.85 8.55 ...
#> .. ..$ y : num [1:40] 0.68982 -0.00888 0.55542 -1.26393 -0.29082 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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] 1 1 0 1 1 1 1 1 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 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 1 0 1 0 0 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 0 0 1 0 0 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 0 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 0 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 1 0 0 1 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 0 0 1 0 0 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 1 0 0 1 1 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 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 0 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 1 0 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 0 0 1 0 0 1 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 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] 1 0 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 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 1 1 1 0 0 0 1 ...
#> .. .. ..$ 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 0 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.48 -2.48 -2.48 -2.48 -2.48 ...
#> .. ..$ from.y: num [1:357] 0.122 0.122 0.122 0.122 0.122 ...
#> .. ..$ to.x : num [1:357] -4.01 -3.33 -3.01 -4.49 -2.99 ...
#> .. ..$ to.y : num [1:357] 0.8539 -1.7275 -0.0638 0.1108 0.9808 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.48 -4.23 -1.38 -3.72 8.4 ...
#> .. ..$ y : num [1:40] 0.122 -0.629 0.406 -1.075 -0.348 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 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 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 1 0 1 1 0 0 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 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] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 0 0 1 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 1 1 0 0 0 0 0 0 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 1 1 0 1 1 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 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 0 1 1 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 0 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 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 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 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 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] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 1 0 0 1 0 1 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 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 0 0 0 0 0 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 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 0 1 1 1 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
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#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.45 -2.45 -2.45 -2.45 -2.45 ...
#> .. ..$ from.y: num [1:357] 0.0367 0.0367 0.0367 0.0367 0.0367 ...
#> .. ..$ to.x : num [1:357] -3.96 -3.29 -2.95 -4.44 -3.12 ...
#> .. ..$ to.y : num [1:357] 0.741 -1.695 0.107 0.412 0.722 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.45 -4.1 -1.44 -3.81 8.51 ...
#> .. ..$ y : num [1:40] 0.0367 -0.0414 0.646 -1.2483 0.3291 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 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] 0 1 0 0 1 0 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 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 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 1 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 1 1 1 0 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 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 0 0 0 0 1 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 1 0 0 0 1 0 0 1 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 1 0 0 1 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 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 1 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] 1 1 0 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] 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 1 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 0 1 0 1 0 0 0 0 1 ...
#> .. .. ..$ gun_control_-- : int [1:402] 0 0 0 0 0 0 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 1 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : 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 0 0 1 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 1 1 1 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 0 0 0 0 0 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.48 -2.48 -2.48 -2.48 -2.48 ...
#> .. ..$ from.y: num [1:357] 0.0395 0.0395 0.0395 0.0395 0.0395 ...
#> .. ..$ to.x : num [1:357] -3.89 -3.37 -3.04 -4.58 -3.02 ...
#> .. ..$ to.y : num [1:357] -1.1363 1.7108 -0.0247 -0.0849 -0.9589 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.48 -4.33 -1.41 -3.76 8.59 ...
#> .. ..$ y : num [1:40] 0.0395 0.6787 -0.5858 1.1447 -0.1145 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 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 1 ...
#> .. .. ..$ 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 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 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 0 1 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] 0 1 0 0 1 0 1 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 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 1 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 0 1 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 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 0 1 0 1 1 ...
#> .. .. ..$ 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 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 1 0 0 0 1 0 0 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 0 1 1 1 0 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 0 0 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 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 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 1 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 1 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 0 0 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 1 0 1 1 0 0 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.55 -2.55 -2.55 -2.55 -2.55 ...
#> .. ..$ from.y: num [1:357] 0.761 0.761 0.761 0.761 0.761 ...
#> .. ..$ to.x : num [1:357] -3.92 -3.34 -2.93 -4.41 -3.11 ...
#> .. ..$ to.y : num [1:357] 0.7759 -1.6505 -0.0528 0.5775 0.6112 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.55 -4.17 -1.41 -3.89 8.55 ...
#> .. ..$ y : num [1:40] 0.7609 -0.0555 0.5431 -1.2537 -0.4775 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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] 1 0 0 0 0 0 0 1 1 1 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 1 1 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 1 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 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] 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 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 1 0 1 0 1 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 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] 1 0 1 0 0 0 0 1 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 1 1 0 0 0 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 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 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] 1 0 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 1 1 1 1 1 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 0 0 0 0 1 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 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 1 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] 1 0 0 1 0 0 1 0 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 1 1 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 1 0 0 1 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.6 -2.6 -2.6 -2.6 -2.6 ...
#> .. ..$ from.y: num [1:357] 0.971 0.971 0.971 0.971 0.971 ...
#> .. ..$ to.x : num [1:357] -4.09 -3.31 -3.06 -4.58 -3.11 ...
#> .. ..$ to.y : num [1:357] 0.8754 -1.7057 -0.0685 0.0215 0.7755 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.6 -4.31 -1.44 -3.78 8.75 ...
#> .. ..$ y : num [1:40] 0.971 -0.745 0.446 -1.168 0.484 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 0 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 1 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 1 0 1 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 0 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 0 0 0 1 0 0 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 1 0 0 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 1 0 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 1 0 1 0 1 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 0 0 0 0 0 0 0 0 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 1 0 1 0 1 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 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : 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 1 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 1 0 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] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 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] 0 1 0 1 1 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 1 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 0 0 0 1 1 0 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 1 1 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 0 0 0 0 0 1 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 1 1 0 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.44 -2.44 -2.44 -2.44 -2.44 ...
#> .. ..$ from.y: num [1:357] 0.142 0.142 0.142 0.142 0.142 ...
#> .. ..$ to.x : num [1:357] -3.9 -3.31 -2.94 -4.38 -3.05 ...
#> .. ..$ to.y : num [1:357] 0.7551 -1.6879 -0.0595 0.5277 0.638 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.44 -4.14 -1.39 -3.82 8.43 ...
#> .. ..$ y : num [1:40] 0.1423 -0.0506 0.5871 -1.2299 -0.3371 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 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] 1 1 0 1 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 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] 1 1 0 0 1 1 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 1 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 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 1 1 1 1 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 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 1 1 0 1 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 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 1 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] 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 0 0 1 1 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 1 0 1 0 0 0 1 ...
#> .. .. ..$ 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 1 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 0 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 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 1 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 1 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 0 0 0 1 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.51 -2.51 -2.51 -2.51 -2.51 ...
#> .. ..$ from.y: num [1:357] 0.759 0.759 0.759 0.759 0.759 ...
#> .. ..$ to.x : num [1:357] -3.97 -3.36 -3.02 -4.43 -3.04 ...
#> .. ..$ to.y : num [1:357] 0.68 -1.689 -0.102 0.12 0.865 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.51 -4.3 -1.44 -3.74 8.47 ...
#> .. ..$ y : num [1:40] 0.759 -0.693 0.465 -1.123 -0.319 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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] 1 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 0 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 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 0 1 0 0 0 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 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] 1 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 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 1 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 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 0 0 0 1 1 1 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 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 1 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 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 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 0 0 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] 1 1 1 0 1 0 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 1 0 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 0 0 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 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 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 0 0 0 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.54 -2.54 -2.54 -2.54 -2.54 ...
#> .. ..$ from.y: num [1:357] 0.787 0.787 0.787 0.787 0.787 ...
#> .. ..$ to.x : num [1:357] -3.98 -3.24 -2.96 -4.34 -3.08 ...
#> .. ..$ to.y : num [1:357] 0.8065 -1.6414 0.0599 0.3699 0.7695 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.54 -4.26 -1.38 -3.75 8.43 ...
#> .. ..$ y : num [1:40] 0.787 -0.737 0.572 -1.251 -0.348 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 0 1 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 1 1 1 1 1 0 ...
#> .. .. ..$ 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 1 0 0 1 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 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] 1 1 1 0 0 1 1 1 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 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 1 0 1 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 0 1 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 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] 1 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 1 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 0 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 1 1 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 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 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] 0 1 1 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 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] 0 1 1 1 1 0 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.61 -2.61 -2.61 -2.61 -2.61 ...
#> .. ..$ from.y: num [1:357] 1.02 1.02 1.02 1.02 1.02 ...
#> .. ..$ to.x : num [1:357] -3.95 -3.35 -3.18 -4.52 -2.78 ...
#> .. ..$ to.y : num [1:357] 1.1358 -1.7176 -0.0475 0.2345 0.1411 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.61 -4.35 -1.38 -3.51 8.44 ...
#> .. ..$ y : num [1:40] 1.0169 -0.6214 -0.0365 -0.8418 0.3685 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 0 0 0 0 1 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 1 1 0 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 1 0 1 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 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 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 1 1 0 0 1 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 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 1 0 0 1 1 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 1 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 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 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 0 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 1 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] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 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] 0 0 1 0 0 1 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 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 1 0 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 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 1 1 0 1 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.49 -2.49 -2.49 -2.49 -2.49 ...
#> .. ..$ from.y: num [1:357] -0.018 -0.018 -0.018 -0.018 -0.018 ...
#> .. ..$ to.x : num [1:357] -3.91 -3.44 -3.02 -4.43 -3.11 ...
#> .. ..$ to.y : num [1:357] 0.7318 -1.6747 0.0533 0.5949 0.6573 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.49 -4.21 -1.43 -3.92 8.62 ...
#> .. ..$ y : num [1:40] -0.018 0.0293 0.5533 -1.1882 0.4925 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 0 0 0 0 0 1 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 1 1 1 1 0 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 1 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 0 0 1 0 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] 1 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 1 0 0 0 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 1 1 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] 1 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 1 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 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] 1 0 0 0 0 1 0 1 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 0 1 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 1 1 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] 1 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 1 0 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] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 1 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 1 0 0 1 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.54 -2.54 -2.54 -2.54 -2.54 ...
#> .. ..$ from.y: num [1:357] -0.897 -0.897 -0.897 -0.897 -0.897 ...
#> .. ..$ to.x : num [1:357] -4.08 -3.36 -3.01 -4.66 -3.02 ...
#> .. ..$ to.y : num [1:357] -0.8911 1.6699 0.0767 -0.7122 -0.5439 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.54 -3.89 -1.6 -3.83 8.46 ...
#> .. ..$ y : num [1:40] -0.897 -0.301 0.713 1.013 0.309 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 0 0 0 0 1 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 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 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 1 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 1 0 0 0 0 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 1 0 1 0 1 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 0 1 1 1 1 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 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 0 0 1 1 0 0 1 ...
#> .. .. ..$ 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 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 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 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 0 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 1 1 0 1 1 1 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 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 0 0 0 1 0 1 0 0 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 1 0 1 0 1 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 1 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 1 1 0 0 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.52 -2.52 -2.52 -2.52 -2.52 ...
#> .. ..$ from.y: num [1:357] 0.206 0.206 0.206 0.206 0.206 ...
#> .. ..$ to.x : num [1:357] -3.91 -3.45 -2.96 -4.44 -3.05 ...
#> .. ..$ to.y : num [1:357] -0.785 1.662 -0.16 -0.543 -0.805 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.52 -4.16 -1.38 -3.89 8.6 ...
#> .. ..$ y : num [1:40] 0.2055 -0.0446 -0.5101 1.154 0.2072 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 0 0 0 1 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 0 1 1 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 0 0 0 0 0 1 1 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 1 0 0 0 0 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 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 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 1 0 0 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 1 0 0 0 0 0 1 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 1 0 0 1 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 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] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 1 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 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 1 0 1 1 0 0 1 0 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] 1 0 1 1 0 1 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 0 0 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] 0 0 0 0 0 0 0 0 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 0 0 1 1 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 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 1 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 1 1 0 1 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 0 0 0 0 1 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.49 -2.49 -2.49 -2.49 -2.49 ...
#> .. ..$ from.y: num [1:357] 0.000813 0.000813 0.000813 0.000813 0.000813 ...
#> .. ..$ to.x : num [1:357] -3.98 -3.41 -2.87 -4.47 -3.07 ...
#> .. ..$ to.y : num [1:357] -0.355 1.651 0.276 -0.641 -0.669 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.49 -3.68 -1.43 -3.89 8.41 ...
#> .. ..$ y : num [1:40] 0.000813 -1.073215 -0.559358 1.211136 0.479524 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 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 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 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 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 1 0 1 1 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 0 0 0 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 1 1 1 1 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 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 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 0 1 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 1 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 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 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 1 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 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] 1 1 1 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 1 0 1 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] 1 1 0 1 0 1 0 1 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.44 -2.44 -2.44 -2.44 -2.44 ...
#> .. ..$ from.y: num [1:357] 0.762 0.762 0.762 0.762 0.762 ...
#> .. ..$ to.x : num [1:357] -4 -3.4 -2.95 -4.39 -2.98 ...
#> .. ..$ to.y : num [1:357] 0.68 -1.666 -0.163 0.224 0.803 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.44 -4.29 -1.4 -3.81 8.4 ...
#> .. ..$ y : num [1:40] 0.762 -0.574 0.404 -1.14 -0.327 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 1 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 0 1 1 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 0 0 0 0 0 1 0 1 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 1 1 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 1 1 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 1 0 0 0 0 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 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 1 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 0 0 0 1 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 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] 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 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 1 1 1 1 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 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 1 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 0 1 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 1 1 1 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.6 -2.6 -2.6 -2.6 -2.6 ...
#> .. ..$ from.y: num [1:357] -0.794 -0.794 -0.794 -0.794 -0.794 ...
#> .. ..$ to.x : num [1:357] -4.1 -3.32 -3.01 -4.89 -3.18 ...
#> .. ..$ to.y : num [1:357] -0.386 1.653 0.225 -0.251 -0.533 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.6 -4.11 -1.48 -3.78 8.59 ...
#> .. ..$ y : num [1:40] -0.794 -0.9 0.497 1.039 -0.345 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 0 0 1 0 0 0 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 0 1 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 1 1 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 1 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 0 0 1 0 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 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 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 0 1 1 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 1 1 0 1 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 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] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 1 1 1 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 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 1 0 1 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 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] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 1 1 0 1 1 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.47 -2.47 -2.47 -2.47 -2.47 ...
#> .. ..$ from.y: num [1:357] 0.911 0.911 0.911 0.911 0.911 ...
#> .. ..$ to.x : num [1:357] -3.96 -3.32 -3.08 -4.45 -2.95 ...
#> .. ..$ to.y : num [1:357] 1.0595 -1.6629 0.0427 0.0673 0.6285 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.47 -4.22 -1.31 -3.78 8.42 ...
#> .. ..$ y : num [1:40] 0.911 -0.629 0.195 -1.146 0.536 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 1 1 1 1 0 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] 0 1 1 1 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 0 1 1 1 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 0 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 1 0 1 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 0 1 0 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 1 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 0 0 1 1 1 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 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 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] 1 1 1 1 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ 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 1 0 0 0 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 1 0 1 1 0 0 1 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] 0 1 0 0 0 0 0 1 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 1 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 1 0 1 0 0 1 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 0 1 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.52 -2.52 -2.52 -2.52 -2.52 ...
#> .. ..$ from.y: num [1:357] 0.993 0.993 0.993 0.993 0.993 ...
#> .. ..$ to.x : num [1:357] -4.07 -3.27 -3.07 -4.6 -2.98 ...
#> .. ..$ to.y : num [1:357] 0.8335 -1.6933 0.1093 0.0982 0.6662 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.52 -4.2 -1.56 -3.67 8.49 ...
#> .. ..$ y : num [1:40] 0.993 -0.697 -0.557 -0.977 0.49 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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] 1 1 0 1 1 1 0 1 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 1 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 0 1 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 0 1 1 0 0 0 1 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 1 0 1 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 1 0 1 0 1 1 0 ...
#> .. .. ..$ welfare_spending_- : 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 1 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 1 0 1 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 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 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 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 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 1 0 1 0 0 0 1 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 0 0 0 1 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 0 1 1 0 1 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 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 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 1 0 0 1 1 1 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 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.44 -2.44 -2.44 -2.44 -2.44 ...
#> .. ..$ from.y: num [1:357] -0.0605 -0.0605 -0.0605 -0.0605 -0.0605 ...
#> .. ..$ to.x : num [1:357] -3.88 -3.4 -2.93 -4.4 -3.04 ...
#> .. ..$ to.y : num [1:357] -0.7529 1.6881 0.0606 -0.6288 -0.6712 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.44 -4.16 -1.41 -3.84 8.47 ...
#> .. ..$ y : num [1:40] -0.06048 -0.00961 -0.55284 1.18901 0.32931 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 1 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 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 0 0 1 ...
#> .. .. ..$ 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 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 0 1 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 0 0 1 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 0 0 0 1 0 0 0 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 1 0 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 1 0 0 1 0 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 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 1 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ 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 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 1 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 1 0 0 1 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 1 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 0 0 1 1 0 0 1 ...
#> .. .. ..$ 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 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 1 0 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 1 0 0 1 1 1 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] 1 0 0 0 0 0 0 1 0 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 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.46 -2.46 -2.46 -2.46 -2.46 ...
#> .. ..$ from.y: num [1:357] 0.139 0.139 0.139 0.139 0.139 ...
#> .. ..$ to.x : num [1:357] -3.95 -3.3 -3.08 -4.37 -3.11 ...
#> .. ..$ to.y : num [1:357] 0.744 -1.689 0.161 0.397 0.781 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.46 -4.33 -1.4 -3.73 8.52 ...
#> .. ..$ y : num [1:40] 0.139 -0.752 0.669 -1.176 -0.498 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 0 0 1 1 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 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 1 0 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 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 1 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 1 0 1 0 0 1 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 1 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 1 1 0 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 0 0 0 0 1 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 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 1 0 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 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 0 1 1 1 0 1 1 ...
#> .. .. ..$ 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 1 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 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] 1 1 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] 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 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 1 1 0 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.55 -2.55 -2.55 -2.55 -2.55 ...
#> .. ..$ from.y: num [1:357] -0.123 -0.123 -0.123 -0.123 -0.123 ...
#> .. ..$ to.x : num [1:357] -4.01 -3.45 -2.9 -4.65 -3.19 ...
#> .. ..$ to.y : num [1:357] -0.686 1.664 0.242 -0.709 -0.789 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.55 -4.13 -1.46 -3.94 8.69 ...
#> .. ..$ y : num [1:40] -0.1234 -0.0872 -0.576 1.1699 0.4536 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 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 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 0 0 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 1 1 0 0 0 0 1 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 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 1 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 0 0 1 0 0 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 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 0 0 1 1 0 0 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 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 1 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 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 1 1 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 1 1 0 0 1 1 1 1 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] 0 0 0 0 0 1 0 0 0 1 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 1 1 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 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 0 1 1 0 1 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 1 0 0 0 0 0 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.53 -2.53 -2.53 -2.53 -2.53 ...
#> .. ..$ from.y: num [1:357] 1 1 1 1 1 ...
#> .. ..$ to.x : num [1:357] -4.03 -3.34 -3.07 -4.51 -2.94 ...
#> .. ..$ to.y : num [1:357] 1.05122 -1.68315 0.11202 0.00325 0.65633 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.53 -4.24 -1.35 -3.7 8.56 ...
#> .. ..$ y : num [1:40] 1.00357 -0.68991 0.00138 -1.06211 -0.48607 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 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 1 0 1 0 0 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] 0 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] 1 1 0 1 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 1 0 1 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 0 1 0 1 0 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 1 0 0 0 0 0 1 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 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 0 0 0 1 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 1 1 0 1 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 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 1 0 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 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 1 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 1 0 1 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 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 1 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 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 1 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 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 0 0 0 1 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.45 -2.45 -2.45 -2.45 -2.45 ...
#> .. ..$ from.y: num [1:357] 0.111 0.111 0.111 0.111 0.111 ...
#> .. ..$ to.x : num [1:357] -3.91 -3.42 -2.98 -4.4 -3.05 ...
#> .. ..$ to.y : num [1:357] 0.81 -1.6575 -0.0217 0.5471 0.7893 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.45 -4.38 -1.38 -3.84 8.58 ...
#> .. ..$ y : num [1:40] 0.111 -0.602 0.528 -1.156 0.512 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 1 0 1 1 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 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 0 0 1 1 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : 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 0 0 ...
#> .. .. ..$ keep_immigrants_-- : int [1:402] 0 0 0 1 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 1 0 0 1 1 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 ...
#> .. .. ..$ 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 1 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 1 1 1 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 0 0 1 0 1 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 1 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 1 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 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 0 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 0 1 0 0 0 0 1 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 1 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 1 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 1 0 1 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 0 0 1 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 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 1 1 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 0 0 0 1 1 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.61 -2.61 -2.61 -2.61 -2.61 ...
#> .. ..$ from.y: num [1:357] -0.127 -0.127 -0.127 -0.127 -0.127 ...
#> .. ..$ to.x : num [1:357] -4.03 -3.43 -2.81 -4.6 -3.13 ...
#> .. ..$ to.y : num [1:357] -0.331 1.645 0.304 -0.659 -0.576 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.61 -3.83 -1.44 -3.94 8.56 ...
#> .. ..$ y : num [1:40] -0.127 -0.951 -0.552 1.238 -0.357 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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] 1 0 0 0 1 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] 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] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ 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 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 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 1 0 1 0 0 1 0 0 0 ...
#> .. .. ..$ 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 1 0 1 1 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 1 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] 0 1 0 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 0 1 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 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 1 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] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 1 1 0 1 1 0 1 0 0 0 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 1 0 0 1 0 0 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] 1 1 0 0 0 1 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 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 0 0 1 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 0 0 1 1 0 0 0 0 1 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 0 0 1 0 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
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#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.44 -2.44 -2.44 -2.44 -2.44 ...
#> .. ..$ from.y: num [1:357] 0.325 0.325 0.325 0.325 0.325 ...
#> .. ..$ to.x : num [1:357] -3.91 -3.35 -2.84 -4.66 -3.05 ...
#> .. ..$ to.y : num [1:357] 0.684 -1.665 -0.106 0.779 0.587 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.44 -4.38 -1.4 -3.82 8.4 ...
#> .. ..$ y : num [1:40] 0.325 -0.692 0.576 -1.153 -0.167 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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] 1 0 0 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] 0 1 1 0 0 1 1 0 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 0 1 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 0 1 0 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 1 0 0 1 1 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ 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 0 0 1 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 0 1 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 0 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] 1 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 1 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 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gay_marriage_+ : 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 1 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 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] 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] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 0 0 1 0 1 1 1 1 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 0 0 0 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 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 0 1 1 0 1 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 0 0 1 1 1 1 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 1 0 0 0 0 0 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
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#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.5 -2.5 -2.5 -2.5 -2.5 ...
#> .. ..$ from.y: num [1:357] 0.0994 0.0994 0.0994 0.0994 0.0994 ...
#> .. ..$ to.x : num [1:357] -4.02 -3.42 -3.06 -4.56 -3.07 ...
#> .. ..$ to.y : num [1:357] 0.451 -1.634 -0.142 0.21 0.484 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.5 -4.22 -1.47 -3.91 8.59 ...
#> .. ..$ y : num [1:40] 0.0994 -0.2919 0.3711 -1.1586 -0.4805 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 1 0 0 0 0 1 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] 1 0 0 0 1 0 0 0 1 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 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 0 1 0 1 0 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_- : int [1:402] 1 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 1 0 0 0 1 0 1 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : 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 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 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 1 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 0 0 0 0 0 1 1 ...
#> .. .. ..$ 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 1 1 0 1 ...
#> .. .. ..$ gay_marriage_+/- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 1 0 1 1 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] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_+ : int [1:402] 0 1 0 1 1 0 0 1 0 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 0 0 0 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 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 1 1 0 1 0 1 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 1 0 0 1 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 1 1 0 1 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 1 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 0 0 0 0 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] 2.53 2.53 2.53 2.53 2.53 ...
#> .. ..$ from.y: num [1:357] 0.0131 0.0131 0.0131 0.0131 0.0131 ...
#> .. ..$ to.x : num [1:357] 3.97 3.48 3.09 4.56 3.14 ...
#> .. ..$ to.y : num [1:357] -0.647 1.65 -0.168 -0.775 -0.887 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.53 4.42 1.41 3.57 -8.55 ...
#> .. ..$ y : num [1:40] 0.0131 0.8329 -0.8814 0.2601 -0.4084 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 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 0 1 1 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 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 0 0 0 0 1 1 1 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 1 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : 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] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 1 0 0 1 0 1 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 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 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 0 1 0 0 1 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 0 1 0 0 0 0 0 0 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] 0 1 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 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] 1 1 0 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 0 1 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 1 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 1 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 1 1 0 0 0 1 0 1 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 1 0 0 0 1 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 1 0 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] 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"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.89 -2.89 -2.89 -2.89 -2.89 ...
#> .. ..$ from.y: num [1:357] 1.19 1.19 1.19 1.19 1.19 ...
#> .. ..$ to.x : num [1:357] -3.97 -3.35 -2.88 -4.69 -3.16 ...
#> .. ..$ to.y : num [1:357] 0.6624 -1.6225 -0.0982 0.7554 0.5792 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.89 -4.35 -1.41 -3.85 8.57 ...
#> .. ..$ y : num [1:40] 1.189 -0.706 0.589 -1.221 -0.517 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 0 1 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 1 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 1 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] 1 0 0 0 0 0 0 1 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 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 0 0 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] 1 0 0 1 1 1 0 1 0 1 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 1 0 0 1 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 1 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 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 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 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 1 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 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 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 1 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] 1 0 0 0 0 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 0 1 1 0 0 1 0 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 1 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 0 0 1 0 1 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.49 -2.49 -2.49 -2.49 -2.49 ...
#> .. ..$ from.y: num [1:357] 0.363 0.363 0.363 0.363 0.363 ...
#> .. ..$ to.x : num [1:357] -4.05 -3.34 -2.86 -4.66 -3.19 ...
#> .. ..$ to.y : num [1:357] -0.2364 1.6185 -0.0479 -0.4659 -0.5737 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.49 -3.61 -1.47 -3.87 8.44 ...
#> .. ..$ y : num [1:40] 0.363 -1.189 -0.6 1.259 0.317 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 1 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 1 0 0 1 1 1 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 1 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 0 1 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 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 0 0 0 0 1 1 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 0 1 0 1 0 1 0 0 ...
#> .. .. ..$ keep_immigrants_+/- : int [1:402] 0 1 1 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 1 0 0 0 1 0 0 0 0 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 1 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 1 0 0 0 0 0 ...
#> .. .. ..$ 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 0 0 ...
#> .. .. ..$ gay_marriage_-- : int [1:402] 0 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ 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 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] 0 0 0 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] 1 1 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] 0 0 0 0 0 1 0 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 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 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 0 0 0 0 0 0 0 1 1 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 0 0 1 1 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 0 0 0 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.42 -2.42 -2.42 -2.42 -2.42 ...
#> .. ..$ from.y: num [1:357] -0.169 -0.169 -0.169 -0.169 -0.169 ...
#> .. ..$ to.x : num [1:357] -3.87 -3.39 -2.9 -4.46 -3.06 ...
#> .. ..$ to.y : num [1:357] -0.726 1.6694 0.0557 -0.7946 -0.7403 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.42 -4.36 -1.36 -3.81 8.42 ...
#> .. ..$ y : num [1:40] -0.169 0.584 -0.548 1.123 0.46 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 0 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ legal_abort_+/- : int [1:402] 0 0 1 0 1 0 0 0 1 1 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 0 1 0 1 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 1 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 1 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 0 0 0 0 0 0 1 1 0 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 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 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 0 1 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] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 0 0 1 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 1 0 1 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 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 1 0 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] 1 0 1 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] 0 1 0 1 0 0 1 0 0 1 ...
#> .. .. ..$ gun_control_- : int [1:402] 0 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] 1 0 0 0 0 0 0 0 1 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 0 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 1 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 0 0 0 1 0 0 1 0 1 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 0 0 1 0 0 0 0 0 1 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"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.54 -2.54 -2.54 -2.54 -2.54 ...
#> .. ..$ from.y: num [1:357] 0.913 0.913 0.913 0.913 0.913 ...
#> .. ..$ to.x : num [1:357] -3.91 -3.25 -2.82 -4.73 -3.1 ...
#> .. ..$ to.y : num [1:357] 1.143 -1.713 -0.126 0.546 0.778 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.54 -4.25 -1.38 -3.71 8.38 ...
#> .. ..$ y : num [1:40] 0.913 -0.746 0.537 -1.162 -0.354 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 0 0 0 1 1 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_-- : int [1:402] 0 0 0 0 1 0 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 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 1 0 0 0 0 0 1 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 1 1 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 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 1 0 0 0 0 0 0 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 1 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 1 1 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] 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 1 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] 1 1 1 1 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] 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 1 0 0 1 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 1 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 0 0 1 0 1 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 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 1 0 1 0 0 0 0 1 0 ...
#> .. .. ..$ aid_blacks_- : int [1:402] 0 0 0 1 0 1 1 0 0 1 ...
#> .. .. ..$ aid_blacks_-- : int [1:402] 0 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 1 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 1 0 0 0 0 0 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] 2.55 2.55 2.55 2.55 2.55 ...
#> .. ..$ from.y: num [1:357] 0.16 0.16 0.16 0.16 0.16 ...
#> .. ..$ to.x : num [1:357] 4.09 3.42 2.85 4.77 3.1 ...
#> .. ..$ to.y : num [1:357] 0.343 -1.653 -0.244 0.743 0.599 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] 2.55 3.86 1.46 3.95 -8.62 ...
#> .. ..$ y : num [1:40] 0.16 0.819 0.554 -1.228 -0.49 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 0 0 0 0 1 1 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 1 1 1 1 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 0 0 0 0 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 1 1 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 1 0 1 0 0 0 0 1 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 1 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 0 0 0 0 0 1 1 ...
#> .. .. ..$ 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 0 0 0 ...
#> .. .. ..$ welfare_spending_- : int [1:402] 0 0 0 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 1 0 0 1 0 0 0 1 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 0 0 0 1 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 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 1 1 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 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 1 1 0 1 1 0 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 1 0 0 1 0 1 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 1 0 0 1 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 0 1 1 0 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 0 1 0 0 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] 0 0 1 1 0 0 0 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.51 -2.51 -2.51 -2.51 -2.51 ...
#> .. ..$ from.y: num [1:357] 0.0967 0.0967 0.0967 0.0967 0.0967 ...
#> .. ..$ to.x : num [1:357] -4.12 -3.29 -3.06 -4.52 -3.04 ...
#> .. ..$ to.y : num [1:357] 0.8003 -1.7453 -0.0336 0.0421 1.0009 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.51 -4.23 -1.34 -3.67 8.41 ...
#> .. ..$ y : num [1:40] 0.0967 -0.6653 0.1801 -1.0817 -0.3448 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 ...
#> .. .. ..$ legal_abort_-- : int [1:402] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ legal_abort_+ : int [1:402] 1 0 1 0 0 0 1 1 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 1 0 ...
#> .. .. ..$ equalize_incomes_- : int [1:402] 1 0 0 0 0 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] 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] 0 1 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 1 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 1 1 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 1 0 0 0 0 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 0 0 0 1 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 1 1 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 1 0 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 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 0 0 ...
#> .. .. ..$ gay_marriage_++ : int [1:402] 0 1 1 1 1 1 0 1 1 1 ...
#> .. .. ..$ 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 1 1 1 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 0 0 0 1 0 0 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 0 0 1 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 1 0 1 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 0 1 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] 1 0 0 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 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 1 0 1 0 1 0 1 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.57 -2.57 -2.57 -2.57 -2.57 ...
#> .. ..$ from.y: num [1:357] 0.796 0.796 0.796 0.796 0.796 ...
#> .. ..$ to.x : num [1:357] -3.99 -3.32 -3.01 -4.42 -3.1 ...
#> .. ..$ to.y : num [1:357] 0.83495 -1.65642 -0.00425 0.43028 0.78952 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.57 -4.32 -1.39 -3.79 8.64 ...
#> .. ..$ y : num [1:40] 0.796 -0.72 0.555 -1.204 -0.461 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 1 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] 1 0 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 0 0 1 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 0 1 1 0 0 0 0 0 0 1 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 1 1 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : int [1:402] 1 0 0 1 1 0 0 1 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 0 0 0 1 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 0 0 1 0 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] 1 0 0 1 1 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] 0 0 0 0 0 0 0 0 0 1 ...
#> .. .. ..$ 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] 1 0 0 0 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] 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 1 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 1 1 ...
#> .. .. ..$ protect_environ_+/- : int [1:402] 0 0 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ protect_environ_++ : int [1:402] 1 0 0 1 1 1 1 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 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 0 0 1 1 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 1 0 1 1 0 1 1 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 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 1 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 1 0 0 1 1 1 1 1 0 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.5 -2.5 -2.5 -2.5 -2.5 ...
#> .. ..$ from.y: num [1:357] 0.891 0.891 0.891 0.891 0.891 ...
#> .. ..$ to.x : num [1:357] -4.04 -3.3 -3.09 -4.51 -2.99 ...
#> .. ..$ to.y : num [1:357] 0.9069 -1.6351 -0.0255 0.0731 0.5676 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.5 -4.26 -1.39 -3.81 8.45 ...
#> .. ..$ y : num [1:40] 0.891 -0.648 0.359 -1.174 -0.164 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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] 1 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 1 0 0 0 0 ...
#> .. .. ..$ legal_abort_++ : int [1:402] 0 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 1 1 0 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_+ : int [1:402] 1 1 0 0 0 0 0 1 0 0 ...
#> .. .. ..$ equalize_incomes_+/-: int [1:402] 0 0 0 0 0 1 0 0 0 0 ...
#> .. .. ..$ equalize_incomes_++ : 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] 0 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] 1 1 0 1 0 1 0 0 1 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 0 0 0 0 0 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 0 0 0 1 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 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 1 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 0 0 ...
#> .. .. ..$ gay_marriage_+ : int [1:402] 1 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 1 1 1 0 1 1 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 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 1 1 1 0 1 1 0 1 1 ...
#> .. .. ..$ 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 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 0 0 1 0 0 1 0 1 1 0 ...
#> .. .. ..$ gun_control_+/- : int [1:402] 1 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_++ : int [1:402] 0 1 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 1 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_+ : int [1:402] 1 1 0 1 0 0 0 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 1 0 1 0 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.55 -2.55 -2.55 -2.55 -2.55 ...
#> .. ..$ from.y: num [1:357] 0.971 0.971 0.971 0.971 0.971 ...
#> .. ..$ to.x : num [1:357] -4.12 -3.25 -3.08 -4.6 -3.03 ...
#> .. ..$ to.y : num [1:357] 0.8033 -1.6797 0.1205 0.0994 0.6984 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.55 -4.18 -1.57 -3.61 8.49 ...
#> .. ..$ y : num [1:40] 0.971 -0.74 -0.509 -1.003 0.457 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 0 0 0 0 0 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 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 1 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 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 0 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 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_++ : int [1:402] 0 1 1 0 1 1 1 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] 1 0 1 0 1 0 0 1 0 0 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 0 0 0 0 0 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 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 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 0 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 1 1 1 1 0 1 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 0 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 1 1 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] 0 0 0 1 0 1 0 1 0 0 ...
#> .. .. ..$ aid_blacks_+/- : int [1:402] 1 1 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ aid_blacks_++ : int [1:402] 0 0 1 0 1 0 1 0 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.55 -2.55 -2.55 -2.55 -2.55 ...
#> .. ..$ from.y: num [1:357] 0.823 0.823 0.823 0.823 0.823 ...
#> .. ..$ to.x : num [1:357] -3.97 -3.25 -3.01 -4.54 -3.08 ...
#> .. ..$ to.y : num [1:357] 1.17168 -1.69762 0.00128 0.31093 0.88047 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.55 -4.29 -1.37 -3.7 8.48 ...
#> .. ..$ y : num [1:40] 0.823 -0.797 0.732 -1.173 -0.341 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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] 1 0 1 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 1 0 1 1 1 0 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 1 0 0 0 0 0 ...
#> .. .. ..$ 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 0 0 1 0 0 0 1 1 1 ...
#> .. .. ..$ 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] 1 0 0 0 1 1 1 0 0 1 ...
#> .. .. ..$ 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 ...
#> .. .. ..$ 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 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 1 0 1 0 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 1 0 0 0 0 1 1 ...
#> .. .. ..$ 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 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 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] 1 1 0 0 0 0 1 0 1 0 ...
#> .. .. ..$ 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 1 0 1 0 1 ...
#> .. .. ..$ 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 0 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 0 0 0 0 0 1 0 1 ...
#> .. .. ..$ 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 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 1 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 1 0 1 0 0 1 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"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> $ :List of 6
#> ..$ ResIN_edgelist :'data.frame': 357 obs. of 7 variables:
#> .. ..$ from : chr [1:357] "legal_abort_-" "legal_abort_-" "legal_abort_-" "legal_abort_-" ...
#> .. ..$ to : chr [1:357] "equalize_incomes_--" "equalize_incomes_+/-" "keep_immigrants_-" "keep_immigrants_--" ...
#> .. ..$ weight: num [1:357] 0.448 0.133 0.412 0.316 0.119 ...
#> .. ..$ from.x: num [1:357] -2.5 -2.5 -2.5 -2.5 -2.5 ...
#> .. ..$ from.y: num [1:357] 0.977 0.977 0.977 0.977 0.977 ...
#> .. ..$ to.x : num [1:357] -3.97 -3.29 -2.98 -4.5 -2.98 ...
#> .. ..$ to.y : num [1:357] 0.931 -1.703 -0.114 0.105 0.759 ...
#> ..$ ResIN_nodeframe:'data.frame': 40 obs. of 6 variables:
#> .. ..$ x : num [1:40] -2.5 -4.28 -1.35 -3.75 8.5 ...
#> .. ..$ y : num [1:40] 0.977 -0.679 0.169 -1.15 0.305 ...
#> .. ..$ node_names : chr [1:40] "legal_abort_-" "legal_abort_--" "legal_abort_+" "legal_abort_+/-" ...
#> .. ..$ partisan_mean: num [1:40] 0.971 0.936 1.315 1.067 1.688 ...
#> .. ..$ 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 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 1 1 1 1 1 1 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 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 1 1 1 0 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 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ keep_immigrants_+ : int [1:402] 1 0 0 0 1 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 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 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..$ welfare_spending_+ : int [1:402] 0 0 0 1 0 0 0 0 1 1 ...
#> .. .. ..$ welfare_spending_+/-: int [1:402] 1 0 1 0 1 0 1 0 0 0 ...
#> .. .. ..$ welfare_spending_++ : int [1:402] 0 1 0 0 0 1 0 1 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 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 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 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 1 0 1 1 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 0 0 0 0 ...
#> .. .. ..$ gun_control_+ : int [1:402] 1 0 1 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 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] 0 1 1 0 1 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 1 0 1 1 1 1 1 ...
#> .. ..$ cluster_probabilities: chr "not estimated"
#> .. ..$ max_clusterprob : chr "not estimated"
#> .. ..$ ResIN_arglist : chr "not stored"
#> ..- attr(*, "class")= chr [1:2] "list" "ResIN"
#> [list output truncated]