AMR/R/skewness.R

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2018-07-08 22:14:55 +02:00
#' Skewness of the sample
#'
#' @description Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.
#'
#' When negative: the left tail is longer; the mass of the distribution is concentrated on the right of the figure. When positive: the right tail is longer; the mass of the distribution is concentrated on the left of the figure.
#' @param x a vector of values, a \code{matrix} or a \code{data frame}
#' @param na.rm a logical value indicating whether \code{NA} values should be stripped before the computation proceeds.
#' @exportMethod skewness
#' @seealso \code{\link{kurtosis}}
#' @rdname skewness
#' @export
skewness <- function(x, na.rm = FALSE) {
UseMethod("skewness")
}
#' @exportMethod skewness.default
#' @rdname skewness
#' @export
skewness.default <- function (x, na.rm = FALSE) {
x <- as.vector(x)
if (na.rm == TRUE) {
x <- x[!is.na(x)]
}
n <- length(x)
(base::sum((x - base::mean(x))^3) / n) / (base::sum((x - base::mean(x))^2) / n)^(3/2)
}
#' @exportMethod skewness.matrix
#' @rdname skewness
#' @export
skewness.matrix <- function (x, na.rm = FALSE) {
base::apply(x, 2, skewness.default, na.rm = na.rm)
}
#' @exportMethod skewness.data.frame
#' @rdname skewness
#' @export
skewness.data.frame <- function (x, na.rm = FALSE) {
base::sapply(x, skewness.default, na.rm = na.rm)
}