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(v2.1.1.9233) chore: make all argument texts full sentences

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2025-03-31 14:53:24 +02:00
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@ -32,8 +32,8 @@
#' @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.
#' @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
#' @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
#' @export