From 5cc29d40ae7036e01ef6404c86984d4750371518 Mon Sep 17 00:00:00 2001 From: Shiro Kuriwaki Date: Mon, 7 Oct 2024 15:32:03 -0400 Subject: [PATCH] Change "map" variable to "lines" -- maybe less confusing --- R/datadoc_cd-info-long.R | 12 +++++++----- data-raw/create_cd-info-long.R | 24 ++++++++++++------------ data/cd_info_long.rda | Bin 85735 -> 85755 bytes 3 files changed, 19 insertions(+), 17 deletions(-) diff --git a/R/datadoc_cd-info-long.R b/R/datadoc_cd-info-long.R index 6f1f4f0..794b5c3 100644 --- a/R/datadoc_cd-info-long.R +++ b/R/datadoc_cd-info-long.R @@ -7,7 +7,7 @@ #' covering the maps of `r length(unique(cd_info_long$map))` election years #' for each of the 435 congressional districts. #' \describe{ -#' \item{`map`}{Is the year corresponding to the geography. For example, `map = 2008` and `cd = "AL-01` +#' \item{`lines`}{Is the year corresponding to the geography. For example, `map = 2008` and `cd = "AL-01` #' indicates that the row is representing AL-01's geography as used in the 2008 election.} #' \item{`cd`}{Is the CD corresponding to the year of the map.} #' \item{`elec`}{Is the year of the election for the presidential election data that follows} @@ -20,16 +20,18 @@ #' } #' #' @examples +#' library(dplyr) +#' #' # get only data for proximate years -#' cd_info_long |> filter((map == elec) | (elec + 2 == map)) +#' cd_info_long |> filter((map == lines) | (elec + 2 == lines)) #' #' # this subset returns exactly 2 * 435 districts per cycle: -#' cd_info_long |> filter((map == elec) | (elec + 2 == map)) |> count(map, party) +#' cd_info_long |> filter((map == lines) | (elec + 2 == lines)) |> count(lines, party) #' #' # this will show where the districts lines changed between 2022 and 2024 #' # (same election, same candidate, different map) #' cd_info_long |> -#' filter(map %in% c(2022, 2024), elec == 2020, candidate == "biden") |> -#' arrange(cd, map) +#' filter(lines %in% c(2022, 2024), elec == 2020, candidate == "biden") |> +#' arrange(cd, lines) #' "cd_info_long" diff --git a/data-raw/create_cd-info-long.R b/data-raw/create_cd-info-long.R index b0c19f0..969fb51 100644 --- a/data-raw/create_cd-info-long.R +++ b/data-raw/create_cd-info-long.R @@ -48,7 +48,7 @@ cd_info_all <- bind_rows( # Republican vote percentages R_pct <- cd_info_all |> - select(map = year, cd, starts_with("pct_")) |> + select(lines = year, cd, starts_with("pct_")) |> pivot_longer( matches("pct_"), names_prefix = "pct_", @@ -58,8 +58,8 @@ R_pct <- name == "romney" ~ 2012, name == "trump16" ~ 2016, name == "trump20" ~ 2020, - name == "trump" & map <= 2018 ~ 2016, - name == "trump" & map >= 2020 & map <= 2022 ~ 2020 + name == "trump" & lines <= 2018 ~ 2016, + name == "trump" & lines >= 2020 & lines <= 2022 ~ 2020 ), .after = cd ) |> @@ -69,7 +69,7 @@ R_pct <- D_pct <- R_pct |> left_join(pres_names_wide, by = "elec") |> - transmute(map, + transmute(lines, cd, elec, party = "D", @@ -79,26 +79,26 @@ D_pct <- R_pct |> # same for Ns Ns <- cd_info_all |> - select(map = year, cd, matches("total")) |> + select(lines = year, cd, matches("total")) |> pivot_longer( matches("presvotes_total"), names_prefix = "presvotes_", values_to = "presvotes_total", values_drop_na = TRUE) |> mutate(elec = case_when( name == "total20" ~ 2020, - map %in% c(2008, 2012, 2016, 2020) ~ map, - map == 2010 ~ 2008, - map == 2014 ~ 2012, - map == 2018 ~ 2016, - map == 2022 ~ 2020, + lines %in% c(2008, 2012, 2016, 2020) ~ lines, + lines == 2010 ~ 2008, + lines == 2014 ~ 2012, + lines == 2018 ~ 2016, + lines == 2022 ~ 2020, ), .after = cd ) |> select(-name) cd_info_long <- bind_rows(D_pct, R_pct) |> - tidylog::left_join(Ns, by = c("map", "cd", "elec")) |> - arrange(map, elec, cd, party) |> + tidylog::left_join(Ns, by = c("lines", "cd", "elec")) |> + arrange(lines, elec, cd, party) |> rename(candidate = name) usethis::use_data(cd_info_long, overwrite = TRUE) diff --git 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