mirror of https://github.com/msberends/AMR.git
42 lines
2.0 KiB
R
42 lines
2.0 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{\link{matrix}} or a \code{\link{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{Questioning lifecycle}{
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\if{html}{\figure{lifecycle_questioning.svg}{options: style=margin-bottom:5px} \cr}
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The \link[=lifecycle]{lifecycle} of this function is \strong{questioning}. This function might be no longer be optimal approach, or is it questionable whether this function should be in this \code{AMR} package at all.
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}
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\section{Read more on our website!}{
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On our website \url{https://msberends.github.io/AMR} you can find \href{https://msberends.github.io/AMR/articles/AMR.html}{a comprehensive tutorial} about how to conduct AMR analysis, the \href{https://msberends.github.io/AMR/reference}{complete documentation of all functions} (which reads a lot easier than here in R) and \href{https://msberends.github.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}. As we would like to better understand the backgrounds and needs of our users, please \href{https://msberends.github.io/AMR/survey.html}{participate in our survey}!
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}
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\seealso{
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\code{\link[=kurtosis]{kurtosis()}}
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}
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