iRNGStream: Iterators that support parallel RNG

In itertools: Iterator Tools

Description

The iRNGStream function creates an infinite iterator that calls nextRNGStream repeatedly, and iRNGSubStream creates an infinite iterator that calls nextRNGSubStream repeatedly.

Usage

iRNGStream(seed)
iRNGSubStream(seed)

Arguments

seed	Either a single number to be passed to set.seed or a vector to be passed to nextRNGStream or nextRNGSubStream.

See Also

set.seed, nextRNGStream, nextRNGSubStream

Examples

it <- iRNGStream(313)
print(nextElem(it))
print(nextElem(it))

## Not run: 
library(foreach)
foreach(1:3, rseed=iRNGSubStream(1970), .combine='c') %dopar% {
  RNGkind("L'Ecuyer-CMRG") # would be better to initialize workers only once
  assign('.Random.seed', rseed, pos=.GlobalEnv)
  runif(1)
}

## End(Not run)

Example output

Loading required package: iterators
[1]         407  -148706266   816896415  -423200657    64647451 -1536586263
[7]    64930425
[1]         407   147611069   397195254   280483519 -1571776966 -1788649533
[7]  -335749277
[1] 0.9200322 0.9857821 0.9834940
Warning message:
executing %dopar% sequentially: no parallel backend registered 

itertools documentation built on May 2, 2019, 6:16 p.m.