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36 lines
1.4 KiB
R
36 lines
1.4 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/skewness.R
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\name{skewness}
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\alias{skewness}
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\alias{skewness.default}
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\alias{skewness.matrix}
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\alias{skewness.data.frame}
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\title{Skewness of the sample}
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\usage{
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skewness(x, na.rm = FALSE)
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\method{skewness}{default}(x, na.rm = FALSE)
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\method{skewness}{matrix}(x, na.rm = FALSE)
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\method{skewness}{data.frame}(x, na.rm = FALSE)
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}
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\arguments{
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\item{x}{a vector of values, a \code{matrix} or a \code{data frame}}
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\item{na.rm}{a logical value indicating whether \code{NA} values should be stripped before the computation proceeds.}
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}
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\description{
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Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.
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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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}
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\section{Read more on our website!}{
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On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a tutorial} about how to conduct AMR analysis, the \href{https://msberends.gitlab.io/AMR/reference}{complete documentation of all functions} (which reads a lot easier than here in R) and \href{https://msberends.gitlab.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}.
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}
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\seealso{
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\code{\link{kurtosis}}
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}
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