[R] Can we do GLM on 2GB data set with R?

Date: Sun 21 Jan 2007 - 01:26:50 GMT

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


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