| RRgauss {RandomFields} | R Documentation |
RRgauss defines
the d-dimensional vector of independent Gaussian random
variables.
RRgauss(mu, sd, log)
mu, sd, log |
see Normal. Here the components can be vectors, leading to multivariate distibution with independent components |
It has the same effect as
RRdistr(norm(mu=mu, sd=sd, log=log))
RRgauss returns an object of class RMmodel
Martin Schlather, schlather@math.uni-mannheim.de
Do not mix up RRgauss with RMgauss or
RPgauss.
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, ])