That is very unusual, but the C stack can be increased under Windows
by recompiling R (see src/gnuwin32/front-ends/Makefile). On most other
OSes it is much easier, just adjust the setting via ulimit or limit in
your shell.
But I suspect the problem is that your model is too complex.
Incidentally, is your R current? Stack usage in expanding models was
reduced recently.
On Tue, 19 May 2009, Nora Pérez wrote:
Dear colleagues,
I am trying a glm.nb for the distribution of a plant species with 93
environmental variables. I execute the instruction and I get the
following message: "Error: C stack usage is too close to the limit".
Well, we don't know what you did (see the footer of this message) but
if you mean 93 explanatory variables I hope you have tens of thousnads
of cases and are just looking for a predictive model.
How can I increase the memory of R?
Your sincerely,
Nora.
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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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