CODEWITHSUNDEEP
rparallel-processingdoparallel
Bogdan
Bogdan

Reputation: 365

running comparisons and statistical tests in parallel in R

on a HPC cluster, I would like to run in parallel the following operations :

wilcox.test(DAY1C4$analyte_value, DAY8C4$analyte_value)
wilcox.test(DAY1C8$analyte_value, DAY8C8$analyte_value)
wilcox.test(DAY1TG$analyte_value, DAY8TG$analyte_value)

I do use the following libraries :

library(parallel)
library(foreach)
library(boot)
library(doParallel)

numCores <- detectCores()
numCores
cl <- makeCluster(numCores)

Upvotes: 1

Views: 86

Answers (1)

akrun
akrun

Reputation: 887173

We may use future_map2

furrr::future_map2(day1list, day8list, wilcox.test)

where

day1list <- list(DAY1C4$analyte_value, DAY1C8$analyte_value, DAY1TG$analyte_value)
day8list <- list(DAY8C4$analyte_value, DAY8C8$analyte_value, DAY8TG$analyte_value)

Upvotes: 2

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