Revision c9b2c621c3bff55aaa77646dc1ba7316765cd7e4 authored by Adrian Baddeley on 25 April 2013, 00:00:00 UTC, committed by Gabor Csardi on 25 April 2013, 00:00:00 UTC
1 parent f86606a
smooth.msr.Rd
\name{smooth.msr}
\alias{smooth.msr}
\title{
Smooth a Signed or Vector-Valued Measure
}
\description{
Apply kernel smoothing to a signed measure or vector-valued measure.
}
\usage{
smooth.msr(X, ...)
}
\arguments{
\item{X}{
Object of class \code{"msr"} representing a
signed measure or vector-valued measure.
}
\item{\dots}{
Arguments passed to \code{\link{density.ppp}} controlling the
smoothing bandwidth and the pixel resolution.
}
}
\details{
This function applies kernel smoothing to a signed measure or
vector-valued measure \code{X}. The Gaussian kernel is used.
The object \code{X} would typically have been created by
\code{\link{residuals.ppm}} or \code{\link{msr}}.
}
\value{
For signed measures, a pixel image (object of class \code{"im"}).
For vector-valued measures, a list of pixel images; the list also
belongs to the class \code{"listof"} so that it can be printed and plotted.
}
\references{
Baddeley, A., Turner, R., Moller, J. and Hazelton, M. (2005)
Residual analysis for spatial point processes.
\emph{Journal of the Royal Statistical Society, Series B}
\bold{67}, 617--666.
Baddeley, A., Moller, J. and Pakes, A.G. (2008)
Properties of residuals for spatial point processes.
\emph{Annals of the Institute of Statistical Mathematics}
\bold{60}, 627--649.
}
\author{
Adrian Baddeley
\email{Adrian.Baddeley@csiro.au}
\url{http://www.maths.uwa.edu.au/~adrian/}
}
\seealso{
\code{\link{msr}},
\code{\link{plot.msr}}
}
\examples{
example(msr)
plot(smooth.msr(rp))
plot(smooth.msr(rs))
}
\keyword{spatial}
\keyword{models}
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