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(v1.3.0.9039) lifecycle updates, added excess kurtosis

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dr. M.S. (Matthijs) Berends
2020-10-04 21:02:16 +02:00
parent baf510183c
commit c04dc852cf
30 changed files with 120 additions and 87 deletions
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22
man/kurtosis.Rd
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@ -7,26 +7,30 @@
\alias{kurtosis.data.frame}
\title{Kurtosis of the sample}
\usage{
kurtosis(x, na.rm = FALSE)
kurtosis(x, na.rm = FALSE, excess = FALSE)
\method{kurtosis}{default}(x, na.rm = FALSE)
\method{kurtosis}{default}(x, na.rm = FALSE, excess = FALSE)
\method{kurtosis}{matrix}(x, na.rm = FALSE)
\method{kurtosis}{matrix}(x, na.rm = FALSE, excess = FALSE)
\method{kurtosis}{data.frame}(x, na.rm = FALSE)
\method{kurtosis}{data.frame}(x, na.rm = FALSE, excess = FALSE)
}
\arguments{
\item{x}{a vector of values, a \code{\link{matrix}} or a \link{data.frame}}
\item{na.rm}{a logical value indicating whether \code{NA} values should be stripped before the computation proceeds.}
\item{na.rm}{a logical to indicate whether \code{NA} values should be stripped before the computation proceeds}
\item{excess}{a logical to indicate whether the \emph{excess kurtosis} should be returned, defined as the kurtosis minus 3.}
}
\description{
Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable.
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.
}
\section{Questioning lifecycle}{
\section{Stable lifecycle}{
\if{html}{\figure{lifecycle_questioning.svg}{options: style=margin-bottom:5px} \cr}
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.
\if{html}{\figure{lifecycle_stable.svg}{options: style=margin-bottom:5px} \cr}
The \link[=lifecycle]{lifecycle} of this function is \strong{stable}. In a stable function, major changes are unlikely. This means that the unlying code will generally evolve by adding new arguments; removing arguments or changing the meaning of existing arguments will be avoided.
If the unlying code needs breaking changes, they will occur gradually. For example, a parameter will be deprecated and first continue to work, but will emit an message informing you of the change. Next, typically after at least one newly released version on CRAN, the message will be transformed to an error.
}
\section{Read more on our website!}{