https://github.com/cran/robCompositions
Tip revision: b075661d51a7a1ee9b00d94017b8a6be03730ba4 authored by Matthias Templ on 29 April 2009, 00:00:00 UTC
version 1.2.2
version 1.2.2
Tip revision: b075661
plot.pcaCoDa.Rd
\name{plot.pcaCoDa}
\alias{plot.pcaCoDa}
\title{ Plot method }
\description{
Provides robust compositional biplots.
}
\usage{
plot.pcaCoDa(x, y, ...)
}
\arguments{
\item{x}{ object of class \sQuote{pcaCoDa} }
\item{y}{ ... }
\item{\dots}{ ... }
}
\details{
The robust compositional biplot according to Aitchison and Greenacre (2002), computed from resulting (robust) loadings and scores,
is performed.
}
\value{
~Describe the value returned
If it is a LIST, use
\item{comp1 }{Description of 'comp1'}
\item{comp2 }{Description of 'comp2'}
...
}
\references{
Aitchison, J. and Greenacre, M. (2002). Biplots of compositional data. \emph{Applied Statistics}, \bold{51}, 375-392. \\
Filzmoser, P., Hron, K., Reimann, C. (2009)
Principal Component Analysis for Compositional Data with Outliers. \emph{Environmetrics}, accepted for publication.
}
\author{ M. Templ, K. Hron }
\seealso{ \code{\link{pcaCoDa}}}
\examples{
data(aitchison395)
p1 <- pcaCoDa(aitchison395)
p1
plot(p1)
}
\keyword{ aplot }