Fix URLs and styling

Author: mine-cetinkaya-rundel

R/data-gerrymander.R

@@ -4,7 +4,7 @@
 #'
 #' @name gerrymander
 #' @docType data
-#' @format A data frame with 435 rows and 12 variables: 
+#' @format A data frame with 435 rows and 12 variables:
 #' \describe{
 #'   \item{district}{Congressional district.}
 #'   \item{last_name}{Last name of 2016 election winner.}
@@ -22,18 +22,18 @@
 #' @source [Washington Post](https://www.washingtonpost.com/news/wonk/wp/2014/05/15/americas-most-gerrymandered-congressional-districts/)
 #' @keywords datasets
 #'
-#' @examples 
+#' @examples
 #' library(ggplot2)
 #' library(dplyr)
 #' ggplot(gerrymander |> filter(gerry != "mid"), aes(clinton16, dem16, color = gerry)) +
-#'  geom_jitter(height = 0.05, size = 3, shape = 1) +
-#'  geom_smooth(method = "glm", method.args = list(family = "binomial"), se = FALSE) +
-#'  scale_color_manual(values = c("purple", "orange")) +
-#'  labs(
-#'    title = "Logistic Regression of 2016 House Elections",
-#'    subtitle = "by Congressional District",
-#'    x = "Percent of Presidential Vote Won by Clinton",
-#'    y = "Seat Won by Democrat Candidate",
-#'    color = "Gerrymandering"
-#'  )
+#'   geom_jitter(height = 0.05, size = 3, shape = 1) +
+#'   geom_smooth(method = "glm", method.args = list(family = "binomial"), se = FALSE) +
+#'   scale_color_manual(values = c("purple", "orange")) +
+#'   labs(
+#'     title = "Logistic Regression of 2016 House Elections",
+#'     subtitle = "by Congressional District",
+#'     x = "Percent of Presidential Vote Won by Clinton",
+#'     y = "Seat Won by Democrat Candidate",
+#'     color = "Gerrymandering"
+#'   )
 "gerrymander"

R/data-prez_pwr.R

@@ -25,8 +25,7 @@
 #'     fill = "Respondent Party"
 #'   ) +
 #'   facet_wrap(~president)
-#' @source
-#'   [Pew Research Center, May 2006 & March 2012](https://www.pewresearch.org/fact-tank/2013/07/25/can-a-president-control-gas-prices-depends-on-when-you-ask/).
-#'   @keywords datasets
+#' @source [Pew Research Center, May 2006 & March 2012](https://www.pewresearch.org/short-reads/2013/07/25/can-a-president-control-gas-prices-depends-on-when-you-ask/).
+#' @keywords datasets
 #'
 "prez_pwr"

R/data-prrace08.R

@@ -17,7 +17,7 @@
 #'   \item{p_mc_cain}{Proportion of votes for John McCain}
 #'   \item{el_votes}{Number of electoral votes for a state}
 #'   }
-#' @source \href{https://www.infoplease.com/us/government/elections/presidential-election-of-2008-electoral-and-popular-vote-summary}{Presidential Election of 2008, Electoral and Popular Vote Summary},
+#' @source [Presidential Election of 2008, Electoral and Popular Vote Summary](https://www.infoplease.com/us/government/elections/presidential-election-of-2008-electoral-and-popular-vote-summary),
 #' retrieved 2011-04-21.
 #' @keywords datasets election 2008 president United States
 #' @examples

R/data-state_stats.R

@@ -37,9 +37,9 @@
 #' }
 #' @source Census Quick Facts (no longer available as of 2020),
 #' InfoChimps (also no longer available as of 2020),
-#' \href{https://www-fars.nhtsa.dot.gov/Main/index.aspx}{National Highway Traffic Safety Administration},
+#' [National Highway Traffic Safety Administration](https://www-fars.nhtsa.dot.gov/Main/index.aspx)
 #' ({\code{tr_deaths}, \code{tr_deaths_no_alc}}),
-#' \href{https://www.bls.gov/web/laus/laumstrk.htm}{Bureau of Labor Statistics}
+#' [Bureau of Labor Statistics](https://www.bls.gov/web/laus/laumstrk.htm)
 #' (\code{unempl}).
 #' @keywords datasets state United States crime energy
 #' @examples

R/data-us_crime_rates.R

@@ -19,7 +19,7 @@
 #'   \item{vehicle_theft}{Number of vehicle thefts committed. Counted in property total.}
 #' }
 #'
-#' @source \href{http://www.disastercenter.com/crime/uscrime.htm}{Disaster Center}
+#' @source [Disaster Center](https://www.disastercenter.com/crime/uscrime.htm)
 #'
 #' @examples
 #'

R/data-us_time_survey.R

@@ -1,7 +1,7 @@
 #' American Time Survey 2009 - 2019
 #'
 #' Average Time Spent on Activities by Americans
-#' 
+#'
 #' @name us_time_survey
 #' @docType data
 #' @format A data frame with 11 rows and 8 variables.
@@ -14,20 +14,20 @@
 #'   \item{caring_children}{Average hours spent per day caring for and helping children under 18 years of age.}
 #'   \item{working_employed}{Average hours spent working for those employed. (15 years and older)}
 #'   \item{working_employed_days_worked}{Average hours per day spent working on days worked (15 years and older)}
-#'   
+#'
 #' }
 #'
 #' @examples
 #'
-#'library(ggplot2)
-#'us_time_survey$year <-as.factor(us_time_survey$year)
-#'ggplot(us_time_survey, aes(year, sleeping))+
-#'  geom_point(alpha = 0.3) +
-#'  labs( x= "Year", 
-#'        y = "Average hours spent Sleeping", 
-#'        title = "US Average hours spent sleeping, 2009 - 2019")
-#'
-#'
+#' library(ggplot2)
+#' us_time_survey$year <- as.factor(us_time_survey$year)
+#' ggplot(us_time_survey, aes(year, sleeping)) +
+#'   geom_point(alpha = 0.3) +
+#'   labs(
+#'     x = "Year",
+#'     y = "Average hours spent Sleeping",
+#'     title = "US Average hours spent sleeping, 2009 - 2019"
+#'   )
 #'
 #' @source [US Bureau of Labor Statistics](https://www.bls.gov/tus/)
 #' @keywords datasets

R/data-vote_nsa.R

@@ -19,7 +19,7 @@
 #' @references Kravets, D., 2020. Lawmakers Who Upheld NSA Phone Spying Received
 #' Double The Defense Industry Cash. WIRED.
 #' Available at \url{https://www.wired.com/2013/07/money-nsa-vote/}.
-#' @source \href{https://www.maplight.org/}{MapLight}.
+#' @source [MapLight](https://www.maplight.org/).
 #' Available at \url{http://s3.documentcloud.org/documents/741074/amash-amendment-vote-maplight.pdf}.
 #' @keywords datasets
 #' @examples

R/data-voter_count.R

@@ -25,6 +25,6 @@
 #'     x = "Highest Office",
 #'     y = "Total Ballots"
 #'   )
-#' @source \href{http://www.electproject.org/home/voter-turnout/voter-turnout-data}{United States Election Project}
+#' @source [United States Election Project](https://www.electproject.org/election-data/voter-turnout-data)
 #'
 "voter_count"

data-raw/gerrymander/gerrymander-dataprep.R

@@ -10,18 +10,20 @@ raw_data <- read_csv(here::here("data-raw/gerrymander/isostat_congress_election_
 
 # Cleaning: ------------------------------------------------------------------
 
-clean_data <- raw_data |> 
-  clean_names() |> 
-  select(-x2) |> 
-  separate(col = member2016,
-           into = c("last_name", "first_name"),
-           sep = ", ") |> 
+clean_data <- raw_data |>
+  clean_names() |>
+  select(-x2) |>
+  separate(
+    col = member2016,
+    into = c("last_name", "first_name"),
+    sep = ", "
+  ) |>
   mutate(
     party16 = str_extract(party16, "[:alpha:]"),
     party18 = str_extract(party18, "[:alpha:]"),
     gerry = factor(gerry, levels = c("low", "mid", "high"))
-  ) 
-  
+  )
+
 
 gerrymander <- clean_data
 

data-raw/us_time_survey/us_time_survey-dataprep.R

@@ -10,4 +10,3 @@ us_time_survey <- read_excel(here::here("data-raw/us_time_survey/AmericanTimeUse
 # save --------------------------------------------------------------------------
 
 usethis::use_data(us_time_survey, overwrite = TRUE)
-