We are wanting to use R instead of/in addition to our existing stats package because of it's huge assortment of stat functions. But, we routinely need to fit GLM models to files that are approximately 2-4GB (as SQL tables, un-indexed, w/tinyint-sized fields except for the response & weight variables). Is this feasible, does anybody know, given sufficient hardware, using R? It appears to use a great deal of memory on the small files I've tested.
I've read the data import, memory.limit, memory.size & general documentation but can't seem to find a way to tell what the boundaries are & roughly gauge the needed memory...other than trial & error. I've started by testing the data.frame & run out of memory on my PC. I'm new to R so please be forgiving if this is a poorly-worded question. Jill Willie Open Seas Safeco Insurance [EMAIL PROTECTED] 206-545-5673 ______________________________________________ [email protected] 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.
