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(v2.1.1.9232) is.mic() iteration, documentation cleanup

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dr. M.S. (Matthijs) Berends
2025-03-31 10:51:31 +02:00
parent 5f5b77bfaf
commit 63099cd81e
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R/skewness.R
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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