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\name{Replace.linim}
\alias{[<-.linim}
\title{Reset Values in Subset of Image on Linear Network}
\description{
Reset the values in a subset of a pixel image on a linear network.
}
\usage{
\method{[}{linim}(x, i, j) <- value
}
\arguments{
\item{x}{
A pixel image on a linear network.
An object of class \code{"linim"}.
}
\item{i}{
Object defining the subregion or subset to be replaced.
Either a spatial window (an object of class \code{"owin"}), or a
pixel image with logical values, or a point pattern (an object
of class \code{"ppp"}), or any type of index that applies to a
matrix, or something that can be converted to a point pattern
by \code{\link[spatstat.geom]{as.ppp}} (using the window of \code{x}).
}
\item{j}{
An integer or logical vector serving as the column index
if matrix indexing is being used. Ignored if \code{i} is
appropriate to some sort of replacement \emph{other than}
matrix indexing.
}
\item{value}{
Vector, matrix, factor or pixel image
containing the replacement values.
Short vectors will be recycled.
}
}
\value{
The image \code{x} with the values replaced.
}
\details{
This function changes some of the pixel values in a
pixel image. The image \code{x} must be an object of class
\code{"linim"} representing a pixel image on a linear network.
The pixel values are replaced according to the rules
described in the help for \code{\link[spatstat.geom]{[<-.im}}.
Then the auxiliary data are updated.
}
\seealso{
\code{\link[spatstat.geom]{[<-.im}}.
}
\examples{
# make a function
Y <- as.linim(distfun(runiflpp(5, simplenet)))
# replace some values
B <- square(c(0.25, 0.55))
Y[B] <- 2
plot(Y, main="")
plot(B, add=TRUE, lty=3)
X <- runiflpp(4, simplenet)
Y[X] <- 5
}
\author{
\spatstatAuthors.
}
\keyword{spatial}
\keyword{manip}
\concept{Linear network}
|
