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\name{ellipsesPlot.covfm}
\alias{ellipsesPlot.covfm}
\title{Ellipses Plot - Visual Correlation Matrix Comparison}
\description{
When there are 3 or more variables in the data, this function produces a matrix with ellipses drawn in the upper triangle. The ellipse in cell \eqn{i,j} of the plot is drawn to be a contour of a standard bivariate normal with correlation \eqn{\rho_{ij}}. One ellipse is drawn in each cell for each model in the \code{covfm} object. When there are 2 variables in the data, this function produces a scatter plot of the data with an overlaid 95\% confidence ellipse for each model in the \code{covfm} object.
}
\usage{
ellipsesPlot.covfm(x, ...)
}
\arguments{
\item{x}{a \code{"covfm"} object.}
\item{\dots}{additional arguments are ignored.}
}
\value{
x is invisibly returned.
}
\examples{
data(woodmod.dat)
woodm.fm <- fit.models(list(Robust = "covRob", Classical = "covClassic"),
data = woodmod.dat)
ellipsesPlot.covfm(woodm.fm)
}
\keyword{hplot}
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