Fix doc

R/datadoc_cd-info-long.R

@@ -3,18 +3,18 @@
 #' `cd_info_long` provides a "long" version of the yearly `cd_info_20**` datasets.
 #'
 #'
-#' @format Each `cd_info_long*` is a dataframe with `r nrow(cd_info_long)`rows,
-#'  covering the maps of `r length(unique(cd_info_long$map))` election years
+#' @format `cd_info_long` is a dataframe with `r nrow(cd_info_long)` rows,
+#'  covering the maps of `r length(unique(cd_info_long$lines))` election years
 #'  for each of the 435 congressional districts.
 #'   \describe{
-#'    \item{`lines`}{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, `lines = 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{`cd`}{Is the CD corresponding to the year of the lines.}
 #'    \item{`elec`}{Is the year of the election for the presidential election data that follows}
 #'    \item{`party`, `candidate`}{Define the presidential candidate that corresponds to the `elec`
-#'     (which may not be the same as `map`). For example, `map = 2012, cd = AL-01` combined with
+#'     (which may not be the same as `lines`). For example, `lines = 2012, cd = AL-01` combined with
 #'      `elec = 2008` represents the 2008 election results in the AL-01 of the pre-redistricting 2008
-#'      map.}
+#'      lines.}
 #'    \item{`pct`}{are the two party voteshares of the candidate}
 #'    \item{`presvotes_total`}{Is the total number of votes for President in that CD}
 #'    }
@@ -23,10 +23,10 @@
 #'  library(dplyr)
 #'
 #'  # get only data for proximate years
-#'  cd_info_long |> filter((map == lines) | (elec + 2 == lines))
+#'  cd_info_long |> filter((elec == lines) | (elec + 2 == lines))
 #'
 #'  # this subset returns exactly 2 * 435 districts per cycle:
-#'  cd_info_long |> filter((map == lines) | (elec + 2 == lines)) |> count(lines, party)
+#'  cd_info_long |> filter((elec == 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)