https://github.com/cran/RandomFields
Tip revision: 0e562f038613e9388e8c33a6cf59f7f57ae62bf5 authored by Martin Schlather on 03 August 2014, 00:00:00 UTC
version 3.0.32
version 3.0.32
Tip revision: 0e562f0
RRgauss.Rd
\name{RRgauss}
\alias{RRgauss}
\title{Random scaling used with balls}
\description{
\command{RRgauss} defines
the d-dimensional vector of independent Gaussian random
variables.
}
\usage{
RRgauss(mu, sd, log)
}
\arguments{
\item{mu, sd, log}{see \link[stats]{Normal}. Here the components can be
vectors, leading to multivariate distibution with independent components}
}
\value{
\command{\link{RRgauss}} returns an object of class \code{\link[=RMmodel-class]{RMmodel}}
}
\details{
It has the same effect as
\code{\link{RRdistr}(\link[=rnorm]{norm}(mu=mu, sd=sd, log=log))}
}
\author{Martin Schlather, \email{schlather@math.uni-mannheim.de}
}
\seealso{
\command{\link{RMmodel}},
\command{\link{RRdistr}},
\command{\link{RRunif}}.
Do not mix up with \command{\link{RMgauss}} or \command{\link{RPgauss}}.
}
\examples{
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
r <- RFrdistr(RRgauss(mu=c(1,5)), n=1000, dim=2)
plot(r[1,], r[2, ])
\dontshow{FinalizeExample()}
}
\keyword{spatial}
\keyword{models}