AMR/man/skewness.Rd

% 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}}
}