R/stats_type_switch.R

In ipmisc: Miscellaneous Functions for Data Cleaning and Analysis

#' @name stats_type_switch
#' @title Switch type of statistics.
#'
#' @description
#'
#' Relevant mostly for `ggstatsplot` and `statsExpressions` packages, where
#' different statistical approaches are supported via this argument: parametric,
#' non-parametric, robust, and Bayesian. This switch function converts strings
#' entered by users to a common pattern for convenience.
#'
#' @param type A character specifying the type of statistical approach:
#'   - `"parametric"`
#'   - `"nonparametric"`
#'   - `"robust"`
#'   - `"bayes"`
#'
#' This argument also accepts the following abbreviations: `"p"` (for
#' *parametric*), `"np"` (for *nonparametric*), `"r"` (for *robust*), `"bf"`
#' (for *Bayes Factor* or *Bayesian*).
#'
#' @importFrom dplyr case_when
#'
#' @examples
#' stats_type_switch("p")
#' stats_type_switch("bf")
#' @export

stats_type_switch <- function(type) {
  dplyr::case_when(
    grepl("^p", type, TRUE) ~ "parametric",
    grepl("^n|^s", type, TRUE) ~ "nonparametric", # s is for Spearman's rho
    grepl("^r", type, TRUE) ~ "robust",
    grepl("^b", type, TRUE) ~ "bayes",
    TRUE ~ "parametric"
  )
}