Hello, Try the following.
estIID50 <- apply( IID50, 2, function(x) pargev(lmom.ub(x)) ) And see ?apply Hope this helps, Rui Barradas Em 27-06-2012 12:31, Al Ehan escreveu:
Hi R-users, I'm trying to repeat the same procedure to 1000 data set. I know this is very easy, but I got stuck finding the right and fastest way in running it. IID50=Riidf[1:50,1:1000] #where IID50 is a dataframe consist of 1000 time series(as column) and 50 time scales (row). #what I tried to do: estIID50=rep(NA,1000) for (i in 1:1000) estIID50[i]=pargev(lmom.ub(IID50[1:50,i])) #warning message In estIID50[i] = pargev(lmom.ub(IID50[1:50, i])) : number of items to replace is not a multiple of replacement length #pargev is a function from lmomco package. I would like to apply it to the 1000 set of time series that I have in the IID50, without having to do it manually. #I dont understand what is the warning warns about Can somebody help me? [[alternative HTML version deleted]] ______________________________________________ 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.
______________________________________________ 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.