I wonder if someone would confirm something I'm 99% sure of from the docs and discussion on the list, but can't find stated explicitly: R works only on problems that fit into (real or virtual) memory. Thus, even if you have a problem (e.g., simple regression) that could be solved by doing some operation on each row of a dataset at a time, you can't solve it unless the entire dataset and associated intermediate results fit in memory. So if you're in 32 bits, your max problem size is about 2G (regular Windows and Linux limit your process size to this, though I think some fancy versions let you go a bit higher). Is there any thought of relaxing this limitation? I realize doing so would be a big job. I also realize that 64 bits makes it much less pressing. Finally, does S-Plus have the same limitation? Thanks.
Ross Boylan wk: (415) 502-4031 530 Parnassus Avenue (Library) rm 115-4 ross at biostat.ucsf.edu Dept of Epidemiology and Biostatistics fax: (415) 476-9856 University of California, San Francisco San Francisco, CA 94143-0840 hm: (415) 550-1062