Nothing
library(randtoolbox)
RNGkind()
n <- 10
#set WELL19937a
set.generator("WELL", version="19937a", seed=12345)
runif(n)
storedState <- get.description()
x <- runif(n)
y <- runif(n)
#Restore the generator from storedState and regenerate the same numbers
put.description(storedState)
all(x == runif(n))
# generate the same random numbers as in Matlab
set.generator("MersenneTwister", initialization="init2002", resolution=53, seed=12345)
runif(n)
# [1] 0.9296161 0.3163756 0.1839188 0.2045603 0.5677250
# Matlab commands rand('twister', 12345); rand(1, 5) generate the same numbers,
# which in short format are 0.9296 0.3164 0.1839 0.2046 0.5677
storedState <- get.description()
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