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.steve@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 <paulbernal07@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
>

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