And it's likely you want to combine biglm with a database approach, either by using your own dbs (RSQLite or equivalent) or using tools like the 'sqlitedf' pkg.
B On Oct 20, 2007, at 12:26 PM, Benilton Carvalho <[EMAIL PROTECTED]> wrote: > And I suggested to use the 'biglm' package. Didn't it work? It has > examples that I found useful. > > B > > On Oct 20, 2007, at 11:41 AM, "Wensui Liu" <[EMAIL PROTECTED]> > wrote: > >> Hi, Dear Listers, >> Several days ago, I posted a question regarding modeling large >> dataset >> in R. Could anyone with such experience shed some light on it? >> I truly appreciate it. >> >> wensui >> >> On 10/17/07, Wensui Liu <[EMAIL PROTECTED]> wrote: >>> Hi, Dear Listers, >>> I am just curious if R is able to model a logistic regression with >>> 2-3000 variables and 30-40 million records. >>> I know R is good but just want to know how good is to use it in a >>> business envirnment such as database marketing. >>> Thank you so much for you insight! >>> >>> >>> -- >>> =============================== >>> WenSui Liu >>> Statistical Project Manager >>> ChoicePoint Precision Marketing >>> (http://spaces.msn.com/statcompute/blog) >>> =============================== >>> >> >> >> -- >> =============================== >> WenSui Liu >> Statistical Project Manager >> ChoicePoint Precision Marketing >> (http://spaces.msn.com/statcompute/blog) >> >> ______________________________________________ >> R-help@r-project.org 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. > > ______________________________________________ > R-help@r-project.org 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. ______________________________________________ R-help@r-project.org 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.