mirror of
https://github.com/msberends/AMR.git
synced 2024-12-26 18:06:11 +01:00
63 lines
2.8 KiB
R
Executable File
63 lines
2.8 KiB
R
Executable File
# ==================================================================== #
|
|
# TITLE #
|
|
# Antimicrobial Resistance (AMR) Analysis #
|
|
# #
|
|
# SOURCE #
|
|
# https://gitlab.com/msberends/AMR #
|
|
# #
|
|
# LICENCE #
|
|
# (c) 2019 Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) #
|
|
# #
|
|
# 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. #
|
|
# #
|
|
# This R package was created for academic research and 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.gitlab.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.
|
|
#' @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
|
|
#' @inheritSection AMR Read more on our website!
|
|
#' @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)
|
|
}
|