Dear R listers, I'm trying use Huber's m-estimator on a dataset, which works fine so far.
In the next step I would like to assign a (frequency) weight to the observations. It seemed straight forward to me to replicate the rows according to their count variable. Unfortunately, a solution provided by jim holtman on Wed 19 Oct 2005 in this list doesn't work for me: > y <- unlist(lapply(seq(nrow(x)), function(.row)rep(.row, x$count [.row]))) # replicate the row numbers > y > result <- x[y,] # pick out the rows > result$count <- 1 # set the count to 1 > result R keeps crashing. I presume because of 800,000 rows, which should be produced. Does a smarter solution exist for weighting the observations according to their frequency than manually replicating rows when using the huber function? Thanks for any help! Daniel Metzler ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
