Geelman, This appears to be your first post to this list. Welcome to R. Nearly 2 days is quite a long time to wait though, so you are unlikely to get a reply now.
Feedback : the question seems quite vague and imprecise. It depends on which R you mean (32bit/64bit) and how much ram you have. It also depends on your data and what you want to do with it. Did you mean 100.000 (i.e. one hundred) or 100,000. Also, '8000 explanatory variables' seems a lot, especially to be stored in 'a factor'. There is no R code in your post so we can't tell if you're using glm correctly or not. You could provide the result of object.size(), and dim() on your data rather than explaining it in words. No reply often, but not always, means you haven't followed some detail of the posting guide or haven't followed this : http://www.catb.org/~esr/faqs/smart-questions.html. HTH Matthew "geelman" <geel...@zonnet.nl> wrote in message news:mkedkcmimcmgohidffmbieklcaaa.geel...@zonnet.nl... > LS, > > How large a dataset can glm fit with a binomial link function? I have a > set > of about 100.000 observations and about 8000 explanatory variables (a > factor > with 8000 levels). > > Is there a way to find out how large datasets R can handle in general? > > > > Thanks in advance, > > > geelman > ______________________________________________ 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.
