cleanup tests and build

R/utils.R

@@ -78,7 +78,7 @@ pretty_count <- function(x) {
 
 #' Unsuppress data using sampling
 #'
-#' @param x
+#' @param x a vector
 #' @param replace_char the character you want to replace in the vector
 #' @param zeros the number of zeroes to oversample when replacing replace_char
 #' @param max_value the numeric maximum value the replacement for the "*" can be
@@ -103,10 +103,11 @@ star_subs <- function(x, replace_char = "*",
 #'
 #' @param x character description of grade levels from NCES style data
 #'
-#' @return
+#' @return a numeric vector
 #' @export
 #'
 #' @examples
+#' grade_level_to_num(c("KG", "Pre-K", "12", "10", "09"))
 grade_level_to_num <- function(x) {
   # Cannot generate new levels if it is a factor so we coerce to character first
   x <- as.character(x)
@@ -122,10 +123,11 @@ grade_level_to_num <- function(x) {
 #'
 #' @param x a character vector with NCES race codes, often from Urban Institute
 #'
-#' @return
+#' @return recoded race categories following NCES race codes
 #' @export
 #'
 #' @examples
+#' race_short_names(c("Black", "Hispanic Or Latino", "Two Or More Races"))
 race_short_names <- function(x) {
   x <- as.character(x)
   x[x %in% c("Black", "Black Or African American", "Black or African American",