mirror of
https://github.com/msberends/AMR.git
synced 2024-12-27 06:46:12 +01:00
36 lines
1.4 KiB
R
36 lines
1.4 KiB
R
% Generated by roxygen2: do not edit by hand
|
|
% Please edit documentation in R/skewness.R
|
|
\name{skewness}
|
|
\alias{skewness}
|
|
\alias{skewness.default}
|
|
\alias{skewness.matrix}
|
|
\alias{skewness.data.frame}
|
|
\title{Skewness of the sample}
|
|
\usage{
|
|
skewness(x, na.rm = FALSE)
|
|
|
|
\method{skewness}{default}(x, na.rm = FALSE)
|
|
|
|
\method{skewness}{matrix}(x, na.rm = FALSE)
|
|
|
|
\method{skewness}{data.frame}(x, na.rm = FALSE)
|
|
}
|
|
\arguments{
|
|
\item{x}{a vector of values, a \code{matrix} or a \code{data frame}}
|
|
|
|
\item{na.rm}{a logical value indicating whether \code{NA} values should be stripped before the computation proceeds.}
|
|
}
|
|
\description{
|
|
Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.
|
|
|
|
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.
|
|
}
|
|
\section{Read more on our website!}{
|
|
|
|
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}.
|
|
}
|
|
|
|
\seealso{
|
|
\code{\link{kurtosis}}
|
|
}
|