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34 lines
1.1 KiB
R
34 lines
1.1 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 \link{matrix} or a \link{data.frame}}
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\item{na.rm}{a \link{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 ('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.
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}
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\examples{
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skewness(runif(1000))
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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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