R: Random scaling used with balls

RRgauss {RandomFields} | R Documentation

## Random scaling used with balls

### Description

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

### Usage

    RRgauss(mu, sd, log)

### Arguments

`mu, sd, log` | see Normal. Here the components can be vectors, leading to multivariate distibution with independent components

### 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

### 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, ])

[Package RandomFields version 3.1.50 Index]