Please read ?"Memory-limits" and the R-admin manual for basic
information.
On Thu, 5 Feb 2009, Tom Quarendon wrote:
I have a general question about R's usage or memory and what limits exist on
the size of datasets it can deal with.
My understanding was that all object in a session are held in memory. This
implies that you're limited in the size of datasets that you can process by
the amount of memory you've got access to (be it physical or paging). Is this
true? Or does R store objects on disk and page them in as parts are needed in
the way that SAS does?
That's rather a false dichotomy: paging uses the disk, so the
distinction is if R implemented its own virtual memory system or uses
the OS's one (the latter).
There are also interfaces to DBMSs for use with large datasets: see
the R-data manual and also look at the package list in the FAQ.
Are there 64 bit versions of R that can therefore deal with much larger
objects?
Yes, there have been 64-bit versions of R for many years, and they are
in routine use on very large problems.
Many thanks.
______________________________________________
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.
--
Brian D. Ripley, rip...@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
______________________________________________
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.
