[R] How to deal with more than 6GB dataset using R?

[Greg Snow]

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.snow at imail.org
801.408.8111


> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of babyfoxlove1 at sina.com
> Sent: Friday, July 23, 2010 10:10 AM
> To: r-help at 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
> 
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> 
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