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\name{count.overplot}
\alias{count.overplot}
\title{Show overlying points as counts}
\usage{
count.overplot(x,y,tol=NULL,col=par("fg"),pch="1",...)
}
\arguments{
\item{x,y}{Two numeric data vectors or the first two columns of a matrix
or data frame. Typically the x/y coordinates of points to be plotted.}
\item{tol}{The largest distance between points that will be considered
to be overlying.}
\item{col}{Color(s) for the points (not the numbers).}
\item{pch}{Symbol(s) to display.}
\item{...}{additional arguments passed to \samp{plot}.}
}
\description{
\samp{count.overplot} checks for overlying points defined as points
separated by a maximum of \samp{tol}, a two element numeric vector of
the x and y tolerance. Defaults to 1/2 of the width of a lower case
"o" in the x direction and 1/2 of the height of a lower case "o" in
the y direction.
}
\value{nil}
\keyword{misc}
\author{Jim Lemon}
\seealso{\link{cluster.overplot},\link{sizeplot}}
\examples{
xy.mat<-cbind(sample(1:10,200,TRUE),sample(1:10,200,TRUE))
count.overplot(xy.mat,main="count.overplot",
xlab="X values",ylab="Y values")
}
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