minor function example updates

R/compile_acs_data.R

@@ -32,9 +32,9 @@ safe_divide = function(x, y) { dplyr::if_else(y == 0, 0, x / y) }
 #'    a series of derived variables, such as percentages, and the year of the data.
 #'    Returned data are formatted wide.
 #' @examples
-#' variables = list_acs_variables(year = "2022")
+#' acs_variables = list_acs_variables(year = "2022")
 #' compile_acs_data(
-#'   variables = variables,
+#'   variables = acs_variables,
 #'   years = c(2021, 2022),
 #'   geography = "county",
 #'   states = "NJ",

R/list_acs_variables.R

@@ -69,9 +69,9 @@ select_variables_by_name = function(variable_name, census_codebook) {
 #' @returns The elements from `variable_vector` that do/don't match `match_string`.
 #' @examples
 #' codebook = tidycensus::load_variables(dataset = "acs5", year = 2022)
-#' variables = select_variables_by_name("B16005_", census_codebook = codebook)
+#' selected_variables = select_variables_by_name("B16005_", census_codebook = codebook)
 #' filter_variables(
-#'   variable_vector = variables,
+#'   variable_vector = selected_variables,
 #'   match_string = "universe_$|native_$|foreign_born_$|only|very_well",
 #'   match_type = "positive")
 #' @export