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Alex Rivera
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I have a problem with appending values to a data frame using parallel processing. I have a function that will do some calculation and return a dataframe, including these calculation is a random sampling. so what i did is : randomizex <- function(testdf) { foreach(ind=1:1000)%dopar% { testdf$X = sample(testdf$X,nrow(testdf), replace=FALSE) fit = lm(X ~ Y, testdf) newdf <- rbind(newdf, data.frame(pc=ind, err=sum(residuals(fit)^2) )) } return(newdf) } resdf = randomizex(mydf) when i view the result of resdf , it's empty if i replace %dopar% with %do% the result is calculated correctly but it's too slow .. is there anyway to boost this a bit ??
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