The R Project SVN R

\name{stripplot}
\title{1-D Scatter Plots}
\usage{
stripplot(x, method="overplot", jitter=0.1, offset=1/3,
        vertical=FALSE, group.names,
        xlim=NULL, ylim=NULL, main="", ylab="", xlab="",
        pch=0, col=par("fg"), cex=par("cex"))
}
\alias{stripplot}
\arguments{
\item{x}{the data from which the plots are to be produced.
  The data can be specified as a single vector, or as
  list of vectors, each corresponding to a component plot.
  Alternatively a symbolic specification of the form
  \code{x ~ g} can be given, indicating the the observations
  in the vector \code{x} are to be grouped according to
  the levels of the factor \code{g}.
  \code{NA}s are allowed in the data.}
\item{method}{the method to be used to separate coincident points.
  The default method \code{"overplot"} causes such points to be overplotted,
  but it is also possible to specify \code{"jitter"} to jitter the
  points, or \code{"stack"} have coincident points stacked.
  The last method only makes sense for very granular data.}
\item{jitter}{when jittering is used, \code{jitter} gives the
  amount of jittering applied.}
\item{offset}{when stacking is used, points are stacked this many
  line-heights (symbol widths) apart.}
\item{vertical}{when vertical is \code{TRUE} the plots are
  drawn vertically rather than the default horizontal.}
\item{group.names}{group labels which will be printed alongside
  (or underneath) each plot.}
\item{\dots}{Graphical parameters can also be specified as arguments.}
}
\description{
\code{stripplot} produces one dimensional scatter plots (or dot plots)
of the given data.  These plots are are good alternative to
\code{\link{boxplot}}s when sample sizes are small.

Extensive examples of the use of this kind of plot can be found in
Box, Hunter and Hunter or Seber and Wild.
}
\examples{
x <- round(rnorm(50), 1)
stripplot(x)
}
\keyword{hplot}