If your data can fit in memory, consider creating a list of the intermediate values and then 'cbind'ing the result into a matrix that you want to write out.
result <- lapply(1:100, function(x) .... your function ....) # if everything is the same size result <- do.call(cbind, result) On Thu, Feb 25, 2010 at 10:44 AM, Petr PIKAL <petr.pi...@precheza.cz> wrote: > Hi > > r-help-boun...@r-project.org napsal dne 25.02.2010 12:42:46: > >> >> Hi all, >> >> I am looping through a function for 100 time in the middle of my code, > and I >> want to output the results from this function. Is there a way to write > the >> results into a txt or csv fil? For example, I write the results from the >> first loop to the first column of a spreadsheet and the results from the >> second loop to the second coclumn of a spreadsheet etc. > > make a data frame, let say res > > res=as.data.frame(matrix(NA, n, 100)) #predefine data frame > > for (i in ...) { > > some stuff > res[,i] <- some function result > } > > write.table(res,....) > > Regards > Petr > > > > >> >> Thank you very much, >> Wendy >> -- >> View this message in context: > http://n4.nabble.com/export-results-tp1568880p1568880.html >> Sent from the R help mailing list archive at Nabble.com. >> >> ______________________________________________ >> 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. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem that you are trying to solve? ______________________________________________ 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.