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#' Create a custom statistic
#'
#' [custom_stat()] is used together with the [custom_stats()] function to add
#' statistics from unsupported functions via [add_stats()]. See the
#' [custom_stats()] function for more information.
#'
#' @param name A string specifying the name of the statistic.
#' @param value The numeric value of the statistic.
#' @param symbol A string specifying the symbol of the statistic to use when
#' reporting the statistic.
#' @param subscript A string specifying a subscript to use when reporting the
#' statistic.
#' @param interval A string specifying the type of interval if the statistic is
#' a ranged statistic (e.g., 95% confidence interval)
#' @param level A numeric value between 0 and 1 indicating the level of the
#' interval.
#' @param lower The numeric value of the lower bound of the statistic.
#' @param upper The numeric value of the upper bound of the statistic.
#'
#' @examples
#' # Example 1: A single mean value
#' sample <- rnorm(1000, mean = 0, sd = 1)
#' mean <- mean(sample)
#'
#' custom_stat(name = "mean", value = mean, symbol = "M")
#'
#' # Example 2: A mean with a 95% confidence interval
#' sample <- rnorm(1000, mean = 0, sd = 1)
#' mean <- mean(sample)
#' se <- sd(sample) / sqrt(length(sample))
#' CI <- c(mean - 1.96 * se, mean + 1.96 * se)
#'
#' custom_stat(
#' name = "mean",
#' value = mean,
#' symbol = "M",
#' interval = "CI",
#' level = .95,
#' lower = CI[1],
#' upper = CI[2]
#' )
#'
#' @export
custom_stat <- function(name, value, symbol = NULL, subscript = NULL,
interval = NULL, level = NULL, lower = NULL,
upper = NULL) {
custom_stat <- list(
name = name,
value = value
)
if (!is.null(symbol)) custom_stat$symbol <- symbol
if (!is.null(subscript)) custom_stat$subscript <- subscript
if (!is.null(interval)) {
custom_stat$interval <- interval
custom_stat$level <- level
custom_stat$lower <- lower
custom_stat$upper <- upper
}
class(custom_stat) <- c("tidystats", "list")
return(list(custom_stat))
}
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