mirror of https://github.com/msberends/AMR.git
63 lines
2.8 KiB
R
Executable File
63 lines
2.8 KiB
R
Executable File
# ==================================================================== #
|
|
# 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)
|
|
}
|