You may want to look at the biglm package as another way to regression models on very large data sets.
-- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of babyfoxlo...@sina.com > Sent: Friday, July 23, 2010 10:10 AM > To: r-help@r-project.org > Subject: [R] How to deal with more than 6GB dataset using R? > > Hi there, > > Sorry to bother those who are not interested in this problem. > > I'm dealing with a large data set, more than 6 GB file, and doing > regression test with those data. I was wondering are there any > efficient ways to read those data? Instead of just using read.table()? > BTW, I'm using a 64bit version desktop and a 64bit version R, and the > memory for the desktop is enough for me to use. > Thanks. > > > --Gin > > [[alternative HTML version deleted]] > > ______________________________________________ > 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.
