Thanks a lot for the valuable information. Now my question would necessarily be, how many columns can R handle, provided that I have millions of rows and, in general, whats the maximum amount of rows and columns that R can effortlessly handle?
Best regards and again thank you for the help, Paul El 18/08/2013 02:35, "Steve Lianoglou" <lianoglou.st...@gene.com> escribió: > Hi Paul, > > First: please keep your replies on list (use reply-all when replying > to R-help lists) so that others can help but also the lists can be > used as a resource for others. > > Now: > > On Aug 18, 2013, at 12:20 AM, Paul Bernal <paulberna...@gmail.com> wrote: > > > Can R really handle millions of rows of data? > > Yup. > > > I thought it was not possible. > > Surprise :-) > > As I type, I'm working with a ~5.5 million row data.table pretty > effortlessly. > > Columns matter too, of course -- RAM is RAM, after all and you've got > to be able to fit the whole thing into it if you want to use > data.table. Once loaded, though, data.table enables one to do > split/apply/combine calculations over these data quite efficiently. > The first time I used it, I was honestly blown away. > > If you find yourself wanting to work with such data, you could do > worse than read through data.table's vignette and FAQ and give it a > spin. > > HTH, > > -steve > > -- > Steve Lianoglou > Computational Biologist > Bioinformatics and Computational Biology > Genentech > [[alternative HTML version deleted]]
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