Get data from Voteview.com
You can install the released version of voteviewr from CRAN with:
install.packages("voteviewr")You can install the dev version of voteviewr from Github with:
if (!requireNamespace("remotes")) {
install.packages("remotes")
}
remotes::install_packages("r-congress/voteviewr")Import Voteview data from the House and Senate for the 116th U.S. Congress
## read using defaults (both chambers of current congress)
cng116 <- read_voteview()or get data from the House and Senate separately for the 115th U.S. Congress
## house 115th data
h115 <- read_voteview("house", 115)
## senate 115th data
s115 <- read_voteview("senate", "115th")or specify a session of Congress
## both chambers of 99th Congress
cng99 <- read_voteview(99)
##
cng99 <- read_voteview(99, "senate")or specify a year
## get data on the 99th Congress
cng1961 <- read_voteview(1961)A tibble is returned
## preview tibble
cng116
#> # A tibble: 538 x 23
#> congress chamber icpsr state_icpsr district_code state_abbrev party_code occupancy
#> <dbl> <chr> <dbl> <dbl> <dbl> <chr> <dbl> <lgl>
#> 1 116 House 20301 41 3 AL 200 NA
#> 2 116 House 21102 41 7 AL 100 NA
#> 3 116 House 21192 41 2 AL 200 NA
#> 4 116 House 21193 41 5 AL 200 NA
#> 5 116 House 21376 41 1 AL 200 NA
#> 6 116 House 21500 41 6 AL 200 NA
#> 7 116 House 29701 41 4 AL 200 NA
#> 8 116 House 14066 81 1 AK 200 NA
#> 9 116 House 20305 61 3 AZ 100 NA
#> 10 116 House 20902 61 2 AZ 100 NA
#> # … with 528 more rows, and 15 more variables: last_means <lgl>, bioname <chr>,
#> # bioguide_id <chr>, born <dbl>, died <lgl>, nominate_dim1 <dbl>, nominate_dim2 <dbl>,
#> # nominate_log_likelihood <dbl>, nominate_geo_mean_probability <dbl>,
#> # nominate_number_of_votes <dbl>, nominate_number_of_errors <dbl>, conditional <lgl>,
#> # nokken_poole_dim1 <dbl>, nokken_poole_dim2 <dbl>, .timestamp <dttm>More info on all returned variables
## view object structure
str(cng116)
#> Classes 'spec_tbl_df', 'tbl_df', 'tbl' and 'data.frame': 538 obs. of 23 variables:
#> $ congress : num 116 116 116 116 116 116 116 116 116 116 ...
#> $ chamber : chr "House" "House" "House" "House" ...
#> $ icpsr : num 20301 21102 21192 21193 21376 ...
#> $ state_icpsr : num 41 41 41 41 41 41 41 81 61 61 ...
#> $ district_code : num 3 7 2 5 1 6 4 1 3 2 ...
#> $ state_abbrev : chr "AL" "AL" "AL" "AL" ...
#> $ party_code : num 200 100 200 200 200 200 200 200 100 100 ...
#> $ occupancy : logi NA NA NA NA NA NA ...
#> $ last_means : logi NA NA NA NA NA NA ...
#> $ bioname : chr "ROGERS, Mike Dennis" "SEWELL, Terri" "ROBY, Martha" "BROOKS, Mo" ...
#> $ bioguide_id : chr "R000575" "S001185" "R000591" "B001274" ...
#> $ born : num 1958 1965 1976 1954 1955 ...
#> $ died : logi NA NA NA NA NA NA ...
#> $ nominate_dim1 : num 0.352 -0.39 0.361 0.644 0.606 0.715 0.366 0.284 -0.599 -0.161 ...
#> $ nominate_dim2 : num 0.459 0.401 0.658 -0.45 0.253 -0.046 0.594 0.023 -0.252 -0.008 ...
#> $ nominate_log_likelihood : num -141.2 -22.3 -78.6 -107.4 -92.7 ...
#> $ nominate_geo_mean_probability: num 0.759 0.959 0.859 0.818 0.839 ...
#> $ nominate_number_of_votes : num 512 536 517 533 527 537 530 519 515 508 ...
#> $ nominate_number_of_errors : num 60 9 27 45 35 35 32 51 7 17 ...
#> $ conditional : logi NA NA NA NA NA NA ...
#> $ nokken_poole_dim1 : num 0.534 -0.408 0.339 0.781 0.708 0.666 0.422 0.353 -0.629 -0.369 ...
#> $ nokken_poole_dim2 : num 0.38 0.353 0.668 -0.4 0.149 0.124 0.657 0.178 -0.646 0.476 ...
#> $ .timestamp : POSIXct, format: "2019-11-22 23:49:27" "2019-11-22 23:49:27" ...
#> - attr(*, "spec")=
#> .. cols(
#> .. congress = col_double(),
#> .. chamber = col_character(),
#> .. icpsr = col_double(),
#> .. state_icpsr = col_double(),
#> .. district_code = col_double(),
#> .. state_abbrev = col_character(),
#> .. party_code = col_double(),
#> .. occupancy = col_logical(),
#> .. last_means = col_logical(),
#> .. bioname = col_character(),
#> .. bioguide_id = col_character(),
#> .. born = col_double(),
#> .. died = col_logical(),
#> .. nominate_dim1 = col_double(),
#> .. nominate_dim2 = col_double(),
#> .. nominate_log_likelihood = col_double(),
#> .. nominate_geo_mean_probability = col_double(),
#> .. nominate_number_of_votes = col_double(),
#> .. nominate_number_of_errors = col_double(),
#> .. conditional = col_logical(),
#> .. nokken_poole_dim1 = col_double(),
#> .. nokken_poole_dim2 = col_double()
#> .. )