randtoolbox: rngWELLScriptR – R documentation

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rngWELLScriptR

An implementation of the recurrence of WELL generators in R language

Description

An implementation of the recurrence of WELL generators in R language for testing purposes. It is too slow to be used for random number generation.

Usage

rngWELLScriptR(n, s, generator, includeState=FALSE)

Arguments

`n`	Integer. The length of the output sequence.
`s`	An 0,1-matrix representing the state of the required WELL generator as obtained by `getWELLState()`.
`generator`	Character string. Name of the generator from the list `"512a", "521a", "521b", "607a", "607b", "800a", "800b", "1024a", "1024b", "19937a", "19937c", "19937b", "21701a", "23209a", "23209b", "44497a", "44497b"`.
`includeState`	Logical. Controls, whether the output should contain the final internal state additionally to the numerical output or not.

Value

If includeState=FALSE, a numeric vector of length n containing the numerical output of the generator. If includeState=TRUE, a list with components x (the numerical output) and state (the final internal state of the generator).

Examples

set.generator("WELL", order=512, version="a", seed=123456)
  s <- getWELLState()
  x <- runif(500)
  y <- rngWELLScriptR(500, s, "512a")
  all(x == y)
  # [1] TRUE

randtoolbox

Toolbox for Pseudo and Quasi Random Number Generation and Random Generator Tests

v1.30.1

BSD_3_clause + file LICENSE

Authors

R port by Yohan Chalabi, Christophe Dutang, Petr Savicky and Diethelm Wuertz with some underlying C codes of (i) the SFMT algorithm from M. Matsumoto and M. Saito, (ii) the Knuth-TAOCP RNG from D. Knuth.

Initial release