On Mon, 14 Feb 2005, Warnes, Gregory R wrote:
The documentation for 'combinations' explicitly describes this problem:
Not so: this is misinformation send in reply to correct and helpful comments.
Details:
Caution: The number of combinations and permutations increases rapidly with 'n' and 'r'!.
To use values of 'n' above about 45, you will need to increase R's recursion limit. See the 'expression' argument to the 'options' command for details on how to do this.
and gives an example of the solution:
# To use large 'n', you need to change the default recusion limit options(expressions=1e5) cmat <- combinations(300,2) dim(cmat) # 44850 by 2
Let me repeat for you what he said he did:
library(gtools) options(expressions=1e5) combinations(500, 3, 1:500) # or combinations(400, 2, 1:400) Error: protect(): stack overflow
Do you notice the second line there this time around?
The message is not about the number of expressions, but about the sizd of the protect stack.
R --max-ppsize=50000
allows combinations(400, 2, 1:400) to work, as I correctly suggested.
-Greg
-----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Behalf Of Prof Brian Ripley Sent: Monday, February 14, 2005 10:23 AM To: Ho-Joon Lee Cc: r-help@stat.math.ethz.ch Subject: Re: [R] 'combinations' in gtools and stack overflow
On Mon, 14 Feb 2005, Ho-Joon Lee wrote:
when I used theDear R-users,
Let me ask about the 'stack overflow' error which I gotfunction to do thisfunction 'combinations' in "gtools".
The following is what I did:
--------- library(gtools) options(expressions=1e5) combinations(500, 3, 1:500) # or combinations(400, 2, 1:400) Error: protect(): stack overflow ---------
How can I overcome this error? Is there perhaps any othermore efficiently?
R --help lists a flag that you can use to increase the size of the protect stack. It is also described in `An Introduction to R'.
-- Brian D. Ripley, [EMAIL PROTECTED] 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
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-- Brian D. Ripley, [EMAIL PROTECTED] 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
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