setVectorSeed: Initialization of Mersenne-Twister RNG with a numeric vector...

In rngSetSeed: Seeding the Default RNG with a Numeric Vector

Initialization of Mersenne-Twister RNG with a numeric vector of an arbitrary nonzero length

Description

Initializes Mersenne-Twister random number generator, which is the default RNG in R, with a numeric vector of arbitrary nonzero length, whose components are interpreted as 32-bit integers. In order to guarantee that different input vectors yield unrelated streams of random numbers, Fortuna random number generator using AES (Advanced Encryption Standard) encryption algorithm is used for the transformation of vseed to the initial state of Mersenne-Twister. See generateInitialization for more detail of the algorithm.

Usage

  setVectorSeed(vseed)

Arguments

vseed

Numeric vector of arbitrary nonzero length with integer values from [0, 2^32-1].

Details

The function calls RNGkind("Mersenne-Twister") and then replaces its state with generateInitialization(vseed) as an initial state. See generateInitialization for the description of the algorithm computing the initialization of length 624 from vseed.

Value

NULL invisibly.

See Also

generateInitialization.

Examples

  setVectorSeed(1)
  x1 <- runif(5)
  setVectorSeed(c(1, 0))
  x2 <- runif(5)
  stopifnot(abs(x1 - c(0.30327915, 0.93045726, 0.20716215, 0.04424525, 0.07478261)) < 1e-8)
  stopifnot(abs(x2 - c(0.02231465, 0.80036017, 0.27630612, 0.69594674, 0.02688734)) < 1e-8)

rngSetSeed documentation built on Sept. 19, 2023, 9:06 a.m.