I try to deal with parallelization and the R package "Snowfall" .
I have my R code which looks like (propr is a package to compute correlation between counts from metagenomics data)
library(propr) test<-read.table("/home/vipailler/PROJET_M2/raw/truelength2.prok2.uniref2.rare> tsv", h=T, row.names=1, sep="\t") test<-t(test) propr<-propr(test, metric="rho")
The correlation matrix I want to generate is very huge (about 5To), that's why I try to get used to parallelization to compute it (I have 12T of memory and many CPUs, I work on a cluster, so the computing power is not a problem)
But I really don't understand how to incorporate my R code into a snowfall code.. Does someone would know how to do it?