Hello, I apologize, since I know that variations of this question come up often, but I have searched both the archives and the rw-FAQ, and haven't had any luck solving my problem. I am trying to run some generalized additive mixed models (using the mgcv library) with some large datasets, and get error messages regarding memory allocation. An example dataset has around 45,000 points contributed by about 2200 individuals (so about 20 observations per individual). Errors within individuals are modeled as AR(1). Currently, I can run the models on a random subset of about 25% of the data in a reasonable amount of time, so I think that memory is the only major issue here.
I have used the "--max-mem-size" command line option, and set it to the maximum allowable, which is 3Gb (any larger and I get a message that it is too large and is ignored when I open R). I also run the R command memory.limit(4095), again the maximum allowable without receiving a "don't be silly" message. I am running this on a brand new computer with Windows XP-64 OS and 4GB RAM (it was bought primarily to be able to handle these models!) Do I have any options to increase memory? Any advice would be hugely appreciated. Thanks so much for any input. Karissa Johnston ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
