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\name{distancePlot.covfm}
\alias{distancePlot.covfm}
\title{Side-by-Side Mahalanobis Distance Plot}
\description{
Produces side-by-side plots of Mahalanobis distance computed using the location and covariance matrix estimates contained in each element of a \code{covfm} object.
}
\usage{
distancePlot.covfm(x, level = 0.95, id.n = 3, ...)
}
\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{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{
the \code{trellis} object is invisibly returned.
}
\examples{
data(woodmod.dat)
woodm.fm <- fit.models(list(Robust = "covRob", Classical = "covClassic"),
data = woodmod.dat)
distancePlot.covfm(woodm.fm, main = "Plot Title", xlab = "x-axis label",
ylab = "y-axis label", pch = 4, col = "purple")
}
\keyword{hplot}
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