When running a foreach loop using the doParallel package in R and FORK, each worker will start off with the same random seed thus leading to duplicate 'random' numbers.
set.seed(1)
cl <- makeCluster(2, type = "FORK")
registerDoParallel(cl)
foreach(1:4, .combine = 'c') %dopar% {rnorm(1, mean = 0, sd = 1)}
stopImplicitCluster()
[1] -0.6264538 -0.6264538 0.1836433 0.1836433
What is the best way to solve this?
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