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". How can I increase the memory of R? Your sincerely, Nora. _________________________________________________________________ [[alternative HTML version deleted]]
Have you try principal component analysis to reduce space variables? 2009/5/19 Nora Pérez <norichuela@hotmail.com>> > > > > > > > > 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". > > How can I increase the memory of R? > > Your sincerely, > > Nora. > > > _________________________________________________________________ > > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. >-- Luis Iván Ortiz Valencia Estatístico Msc. ............................................... Curriculum Lattes http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4778724J3 ............................................... Aquarela Cusco Hostel http://www.aquarelacuscohostel.com/ ............................................... [[alternative HTML version deleted]]
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 P?rez 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. > > > _________________________________________________________________ > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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, ripley at 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