Michael Styer wrote:
I did some more research and I think I've answered my own question.
So my next question is, does anyone have any thoughts about how
significant a project it would be to compile R for 64-bit windows
(using, e.g., the Portland Group compiler)?
How much of the code would need to be changed to get around the issue
with longs?
I think this is probably beyond the scope of my project but I should
make sure before I give up.
It isn't the path of least resistance. If you want 64 bit processing for
a specific task, it is much easier to set up a machine with one of the
64 bit Linux variants. Several of these even have precompiled R packages
(as in .rpm/.deb/..., not as in CRAN).
That said, there is at least one commercial company who intends to get
the Win64 issues sorted for at least one commercial compiler, and I
understand that they will submit patches back to the R source tree.
Presumably, this will allow the adventurous user to get the same
toolchain and compile his own version, but in a cool-headed cost-benefit
analysis, the commercial option might still have an edge. (The company
should write their own advertising, but I think this pretty well
illustrates the current balance of things.)
Thanks for your help!
Mike
Michael Styer wrote:
Hello,
I'm working with a very large dataset in R on a computer running
64-bit Windows Server 2008 Standard with 32GB of RAM. According to the
R for Windows FAQ, the maximum value allowed for max-mem-size is
4095MB. Is it possible to run R with a higher memory limit on this
system? I've tried changing memory.limit() in the R console but it
claims the system has a 4-GB address limit, which I don't believe to
be the case here.
______________________________________________
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.
--
O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B
c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907
______________________________________________
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.
