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Hi R-experts, Does anyone have experience using R for handling large scale data (millions of rows, hundreds or thousands of features)? What is the largest size of data that anyone has used with glm? Also, is there a library to read data in sparse data format (like SVMlight format)? Thanks Pradheep [[alternative HTML version deleted]]

...ted in the host OS. However, the kernel refuses to boot with an error message which says "kernel not syncing... attempted to kill init... rebooting...". When I remove that line, everything works. Is there anything else we should do for a guest OS to see multiple partitions ? Thanks, Pradheep ------------------------------------------------------- The SF.Net email is sponsored by: Beat the post-holiday blues Get a FREE limited edition SourceForge.net t-shirt from ThinkGeek. It''s fun and FREE -- well, almost....http://www.thinkgeek.com/sfshirt _________________________________...

...ndex a named list? E.g: a <- list ('longname'=1, 'anothername'=2) a$l will return 1 and a$a will return 2 the '[[' operator behaves in the same way, the '[' operator does not do autocomplete. Is there any way to disable autocomplete for all the operators? Thanks Pradheep [[alternative HTML version deleted]]

...ame data, I get only NA's. I'm able to run predict with some other models constructed with biglm. One reason I suspect is that the model itself has a few undefined terms (NA's). I'm wondering if there's any way to ignore the undefined terms (treat them as 0). Thanks in advance, Pradheep [[alternative HTML version deleted]]