R/util_app_sm.R

In dataquieR: Data Quality in Epidemiological Research

#' utility function applicability of segment missingness
#'
#' Test for applicability of segment missingness
#'
#' @param x [data.frame] metadata
#' @param dta [logical] vector, 1=matching data type,
#'                  0 = non-matching data type
#'
#' @return [factor] 0-3 for each variable in metadata
#' - 0 data type mismatch and not applicable
#' - 1 data type mismatches but applicable
#' - 2 data type matches but not applicable
#' - 3 data type matches and applicable
#'
#' @seealso [pro_applicability_matrix]
#' @keywords internal

util_app_sm <- function(x, dta) {
  if (all(c(PART_VAR, STUDY_SEGMENT) %in% names(x))) {
    c1 <- ifelse(is.na(x[[STUDY_SEGMENT]]) |
                   is.na(x[[PART_VAR]]), 0, 1)
  } else {
    c1 <- rep(0, times = dim(x)[1])
  }

  aa <- paste0(dta, c1)
  score <- as.numeric(recode(as.factor(aa), "00" = 0, "01" = 1,
                             "10" = 2, "11" = 3))
  score <- as.factor(score)
  return(score)
}