R/single_value.R

In janitor: Simple Tools for Examining and Cleaning Dirty Data

#' Ensure that a vector has only a single value throughout.
#'
#' Missing values are replaced with the single value, and if all values are
#' missing, the first value in \code{missing} is used throughout.
#'
#' @param x The vector which should have a single value
#' @param missing The vector of values to consider missing in \code{x}
#' @param warn_if_all_missing Generate a warning if all values are missing?
#' @param info If more than one value is found, append this to the warning or
#'   error to assist with determining the location of the issue.
#' @return \code{x} as the scalar single value found throughout (or an error if
#'   more than one value is found).
#' @examples
#' # A simple use case with vectors of input
#'
#' single_value(c(NA, 1))
#' # Multiple, different values of missing can be given
#' single_value(c(NA, "a"), missing = c(NA, "a"))
#'
#' # A typical use case with a grouped data.frame used for input and the output
#' # (`B` is guaranteed to have a single value and only one row, in this case)
#' data.frame(A = rep(1:3, each = 2),
#'            B = c(rep(4:6, each = 2))) %>%
#'   dplyr::group_by(A) %>%
#'   dplyr::summarize(
#'     B = single_value(B)
#'   )
#'
#' try(
#' # info is useful to give when multiple values may be found to see what
#' # grouping variable or what calculation is causing the error
#' data.frame(A = rep(1:3, each = 2),
#'            B = c(rep(1:2, each = 2), 1:2)) %>%
#'   dplyr::group_by(A) %>%
#'   dplyr::mutate(
#'     C = single_value(B, info = paste("Calculating C for group A=", A))
#'   )
#' )
#' @export
single_value <- function(x, missing=NA, warn_if_all_missing=FALSE, info=NULL) {
  mask_found <- !(x %in% missing)
  if (warn_if_all_missing && !any(mask_found)) {
    warning("All values are missing")
  }
  found_values <- unique(x[mask_found])
  if (length(found_values) == 0) {
    missing[1]
  } else if (length(found_values) == 1) {
    found_values
  } else {
    if (!is.null(info)) {
      info <- paste(":", info)
    }
    stop("More than one (", length(found_values), ") value found (", paste(found_values, collapse=", "), ")", info)
  }
}