On Thu, 9 Oct 2003 [EMAIL PROTECTED] wrote:
My first choice is get as much memory on your machine as you can; 1GB since
this the most that R can use.
R can use up to 2Gb, but Windows is unlikely to give you that much --
1.7Gb has been achieved (see the CHANGES file, I believe).
--
Brian
If I am buying a PC where the most compute intensive task will be running R
and I do not have unlimited resources what trade-offs should I make?
Specifically should I go for
1 - more memory, or
2 - faster processor, or
3 - something else?
If it makes a difference I shall be running Windows on it
On Windows, I find that having as much memory as I can possibly afford
makes a real difference with R. Since I always end up having larger
datasets/problems then I thought I'd have. My general strategy is to
maximize the amount of memory first -- if that doesn't work, then think
about
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Sent by: Subject: [R] Specifying suitable
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