# ==================================================================== # # TITLE # # Antimicrobial Resistance (AMR) Analysis # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # # # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # # Visit our website for more info: https://msberends.github.io/AMR. # # ==================================================================== # #' 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. #' @inheritSection lifecycle Questioning lifecycle #' @param x a vector of values, a [`matrix`] or a [`data.frame`] #' @param na.rm a logical value indicating whether `NA` values should be stripped before the computation proceeds. #' @seealso [kurtosis()] #' @rdname skewness #' @inheritSection AMR Read more on our website! #' @export skewness <- function(x, na.rm = FALSE) { UseMethod("skewness") } #' @method 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) (sum((x - mean(x))^3) / n) / (sum((x - mean(x)) ^ 2) / n) ^ (3 / 2) } #' @method skewness matrix #' @rdname skewness #' @export skewness.matrix <- function(x, na.rm = FALSE) { apply(x, 2, skewness.default, na.rm = na.rm) } #' @method skewness data.frame #' @rdname skewness #' @export skewness.data.frame <- function(x, na.rm = FALSE) { sapply(x, skewness.default, na.rm = na.rm) }