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(v1.5.0.9006) major documentation update

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dr. M.S. (Matthijs) Berends
2021-01-18 16:57:56 +01:00
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6
R/skewness.R
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@ -23,17 +23,17 @@
# how to conduct AMR analysis: https://msberends.github.io/AMR/ #
# ==================================================================== #
#' Skewness of the sample
#' 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 ('left-skewed'): the left tail is longer; the mass of the distribution is concentrated on the right of a histogram. When positive ('right-skewed'): the right tail is longer; the mass of the distribution is concentrated on the left of a histogram. A normal distribution has a skewness of 0.
#' @inheritSection lifecycle Stable lifecycle
#' @inheritSection lifecycle Stable 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!
#' @inheritSection AMR Read more on Our Website!
#' @export
skewness <- function(x, na.rm = FALSE) {
meet_criteria(na.rm, allow_class = "logical", has_length = 1)