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2017 Dec 07
2
parallel computing with foreach()
...rking. Given the volume and type of the data involved in the analysis, I will try to give below the complete code without reproducible example. In short, each R environment will draw a set of separate files, perform the analysis and dump in separate folders. splist <- c("juoc", "juos", "jusc", "pico", "pifl", "pipo", "pire", "psme") covset <- c("PEN", "Thorn") foreach(i = 1:length(splist)) %:% foreach(j = 1:length(covset)) %dopar% { spname <- splist[i]; spname myTorP <- covset[j]; my...
2017 Dec 07
0
parallel computing with foreach()
...of the data involved in the > analysis, I will try to give below the complete code without reproducible > example. > > In short, each R environment will draw a set of separate files, perform the > analysis and dump in separate folders. > > splist <- c("juoc", "juos", "jusc", "pico", "pifl", "pipo", "pire", "psme") > covset <- c("PEN", "Thorn") > > foreach(i = 1:length(splist)) %:% > foreach(j = 1:length(covset)) %dopar% { > > spname <- splist[i]; spnam...