Random scaling used with balls

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

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, ])

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(RandomFields)
Loading required package: sp
Loading required package: RandomFieldsUtils
This is RandomFieldsUtils Version: 0.2.1
This is RandomFields Version: 3.1.16

Attaching package: 'RandomFields'

The following object is masked from 'package:RandomFieldsUtils':

    RFoptions

The following objects are masked from 'package:base':

    abs, acosh, asin, asinh, atan, atan2, atanh, cos, cosh, exp, expm1,
    floor, gamma, lgamma, log, log1p, log2, logb, max, min, round, sin,
    sinh, sqrt, tan, tanh, trunc

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/RandomFields/RRgauss.Rd_%03d_medium.png", width=480, height=480)
> ### Name: RRgauss
> ### Title: Random scaling used with balls
> ### Aliases: RRgauss
> ### Keywords: spatial models
> 
> ### ** 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, ])
> ## Don't show: 
> FinalizeExample()
> ## End(Don't show)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>