Thanks guys, writing smaller pieces did the trick. Still takes about 4 hours to do but that more manageable than over 30 hours without even writing a line.
jholtman wrote: > > What do you want to export it to and in what format? You will probably > have > a problem trying to write that large an object out at one time. Try > instead > opening a connecting and the writing much smaller pieces to the file: > > x <- matrix(runif(10000), 100) > x[,1] <- 1:100 # put some labels for testing > x.out <- file('/test.csv', 'w') > # not efficient, just for demonstration > for (i in 1:100) write.table(x[i,, drop=FALSE], file=x.out, > sep=',', col.names=FALSE, row.names=FALSE) > close(x.out) > > > > On Mon, Jun 29, 2009 at 2:51 AM, DrDimo > <dmitri.moura...@ludwig.edu.au>wrote: > >> >> Hi all, >> >> I am currently working on a particularly large (data wise) project, the >> problem I am having is with exporting the data (for use later on). My >> current sample dataset contains about 400million entries (approximately >> 20000 columns x 20000 rows). I tried using the write.table command, but >> 8 >> hours later its still going. I will be trying write.matrix (MASS) next as >> it >> is supposed to handle things a bit quicker, but I thought I would ask if >> anyone has had experience with exporting large datasets and what is the >> quickest method to do so. >> >> Thanks in advance >> >> -Dmitri >> -- >> View this message in context: >> http://www.nabble.com/Exporting-large-datasets-tp24249149p24249149.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<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? > > [[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. > > -- View this message in context: http://www.nabble.com/Exporting-large-datasets-tp24249149p24299303.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.