Vector Of Independent Gaussian Random Variables

Description

RRgauss defines the d-dimensional vector of independent Gaussian random variables.

Usage

RRgauss(mu, sd, log) 

Arguments

Details

It has the same effect as RRdistr(norm(mu=mu, sd=sd, log=log)).

Value

RRgauss returns an object of class RMmodel.

Author(s)

Martin Schlather, schlather@math.uni-mannheim.de, http://ms.math.uni-mannheim.de

See Also

RMmodel, RRdistr, RRunif.

Do not mix up RRgauss with RMgauss or 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, ])