rngtools {rngtools} | R Documentation |
Utility functions for working with Random Number Generators
Description
This package contains a set of functions for working with Random Number Generators (RNGs). In particular, it defines a generic S4 framework for getting/setting the current RNG, or RNG data that are embedded into objects for reproducibility.
Details
Notably, convenient default methods greatly facilitate the way current RNG settings can be changed.
Examples
showRNG()
s <- getRNG()
RNGstr(s)
RNGtype(s)
# get what would be the RNG seed after set.seed
s <- nextRNG(1234)
showRNG(s)
showRNG( nextRNG(1234, ndraw=10) )
# change of RNG kind
showRNG()
k <- RNGkind()
k[2L] <- 'Ahrens'
try( RNGkind(k) )
setRNG(k)
showRNG()
# set encoded kind
setRNG(501L)
showRNG()
# use as set seed
setRNG(1234)
showRNG()
r <- getRNG()
# extract embedded RNG specifications
runif(10)
setRNG(list(1, rng=1234))
rng.equal(r)
# restore default RNG (e.g., after errors)
RNGrecovery()
showRNG()
[Package rngtools version 1.5.2 Index]