Revision 50e63163d97a24ea4258d0434c6206f5e748a9c6 authored by Yohan Chalabi on 21 September 2012, 00:00:00 UTC, committed by Gabor Csardi on 21 September 2012, 00:00:00 UTC
1 parent e45edf4
dist-normRobMoments.Rd
\name{normRobMoments}
\alias{normRobMoments}
\alias{normMED}
\alias{normIQR}
\alias{normSKEW}
\alias{normKURT}
\title{Robust Moments for the NORM}
\description{
Computes the first four robust moments for the
Normal Distribution.
}
\usage{
normMED(mean = 0, sd = 1)
normIQR(mean = 0, sd = 1)
normSKEW(mean = 0, sd = 1)
normKURT(mean = 0, sd = 1)
}
\arguments{
\item{mean}{locaiton parameter}
\item{sd}{scale parameter}
}
\value{
All values for the \code{*norm} functions are numeric vectors:
\code{d*} returns the density,
\code{p*} returns the distribution function,
\code{q*} returns the quantile function, and
\code{r*} generates random deviates.
All values have attributes named \code{"param"} listing
the values of the distributional parameters.
}
%\references{
% go here ...
%}
\author{
Diethelm Wuertz.
}
\examples{
## normMED -
# Median:
normMED(mean = 0, sd = 1)
## normIQR -
# Inter-quartile Range:
normIQR(mean = 0, sd = 1)
## normSKEW -
# Robust Skewness:
normSKEW(mean = 0, sd = 1)
## normKURT -
# Robust Kurtosis:
normKURT(mean = 0, sd = 1)
}
\keyword{distribution}
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