parallel.r
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tidyverse_model.r
s4_method.r
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parallel.r
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parallel.r
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library(parallel)↵
cl <- makeCluster(4)↵
results <- parLapply(cl, 1:100, function(i) {↵
set.seed(i)↵
mean(rnorm(1000))↵
})↵
stopCluster(cl)↵
unlist(results) %>% hist()
0WPM•0%•0:00•0/162(0%)|Ln 1, Col 1
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