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\name{ddPlot.covfm}
\alias{ddPlot.covfm}
\title{Distance - Distance Plot}
\description{
For a \code{covfm} object containing 2 models, this function plots the
Mahalanobis distance from the first model on the y-axis and the
Mahalanobis distance from the second model on the x-axis.
}
\usage{
ddPlot.covfm(x, level = 0.95, strip = "", id.n = 3, \dots)
}
\arguments{
\item{x}{a \code{"covfm"} object.}
\item{level}{a single numeric value between 0 and 1 giving the
chi-squared percent point used to compute the outlyingness threshold.}
\item{strip}{a character string printed in the \dQuote{strip} at the
top of the plot.}
\item{id.n}{a single nonnegative integer specifying the number of
extreme points to label in the plot.}
\item{\dots}{additional arguments are passed to \code{xyplot}.}
}
\value{
if the models can be compared then the plotted \code{trellis} object is
invisibly returned. Otherwise \code{x} is returned invisibly.
}
\examples{
data(woodmod.dat)
woodm.fm <- fit.models(list(Robust = "covRob", Classical = "covClassic"),
data = woodmod.dat)
ddPlot.covfm(woodm.fm, main = "Plot Title", xlab = "x-axis label",
ylab = "y-axis label", pch = 4, col = "purple")
}
\keyword{hplot}
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