Keep only relevant values

Filters out only relevant values based on the provided filters

keep_only_relevant_values(lFilters, sVariable, dfFilters)

Arguments

lFilters

List of filters to be applied on the data.

sVariable

The variable for which relevant values are to be retrieved.

dfFilters

Dataframe with the possible filters and values for this dataset

Value

A list of relevant values for the specified variable.

Details

This function removes null elements from the filter list, transforms filter list into elements suitable for filtering, and retrieves relevant values from the data.

Examples

dfFilters <- dplyr::tibble(
  var1 = sample(c("A", "B", "C"), 100, replace = TRUE),
  var2 = sample(c("D", "E", "F"), 100, replace = TRUE),
  var3 = sample(c("G", "H", "I"), 100, replace = TRUE)
)
filters <- list("D;var2")
relevant_values <- keep_only_relevant_values(filters, "var1", dfFilters)

# Check if the relevant values are only from the rows where var2 is "D" or "E"
expected_values <- dfFilters$var1[dfFilters$var2 %in% c("D")] %>%
  purrr::set_names(.) %>%
  purrr::map(~paste0(.x, ";var1"))