mirror of https://github.com/msberends/AMR.git
35 lines
1.1 KiB
R
35 lines
1.1 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/kurtosis.R
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\name{kurtosis}
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\alias{kurtosis}
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\alias{kurtosis.default}
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\alias{kurtosis.matrix}
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\alias{kurtosis.data.frame}
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\title{Kurtosis of the Sample}
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\usage{
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kurtosis(x, na.rm = FALSE, excess = FALSE)
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\method{kurtosis}{default}(x, na.rm = FALSE, excess = FALSE)
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\method{kurtosis}{matrix}(x, na.rm = FALSE, excess = FALSE)
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\method{kurtosis}{data.frame}(x, na.rm = FALSE, excess = 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} to indicate whether \code{NA} values should be stripped before the computation proceeds}
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\item{excess}{a \link{logical} to indicate whether the \emph{excess kurtosis} should be returned, defined as the kurtosis minus 3.}
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}
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\description{
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Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. A normal distribution has a kurtosis of 3 and a excess kurtosis of 0.
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}
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\examples{
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kurtosis(rnorm(10000))
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kurtosis(rnorm(10000), excess = TRUE)
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}
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\seealso{
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\code{\link[=skewness]{skewness()}}
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}
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