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