On 22/08/11 12:26, Martin Morgan wrote:
On 08/21/2011 11:52 PM, Allan Engelhardt wrote:[...] Obligatory reproducible example: On the Unix machine do library("multicore") a <- list(data = 1:10, fun = mclapply) save(a, file = "a.RData") and then try to load the "a.RData" file on Windows. The question is if I can recover the data (1:10) on that platform.Is this a more realistic reproducible example (from ?rfe, modified to use computeFunction=mclapply)?data(BloodBrain) x <- scale(bbbDescr[,-nearZeroVar(bbbDescr)]) x <- x[, -findCorrelation(cor(x), .8)] x <- as.data.frame(x) set.seed(1) lmProfile <- rfe(x, logBBB, sizes = c(2:25, 30, 35, 40, 45, 50, 55, 60, 65), rfeControl = rfeControl(functions = lmFuncs, number = 5, computeFunction=mclapply)) Maybe provide a computeFunction that only indirectly references mclapply computeFunction=function(...) { if (require(multicore)) mclapply(...) else lapply(...) } [...]
Yes, that workaround works for my usage. Thanks! Allan ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
