[R] Dealing With Extremely Large Files

[Charles C. Berry]

Try

 	RSiteSearch("biglm")

for some threads that discuss strategy for analyzing big datasets.

HTH,

Chuck


On Fri, 26 Sep 2008, zerfetzen wrote:

>
> Hi,
> I'm sure that a large fixed width file, such as 300 million rows and 1,000
> columns, is too large for R to handle on a PC, but are there ways to deal
> with it?
>
> For example, is there a way to combine some sampling method with read.fwf so
> that you can read in a sample of 100,000 records, for example?
>
> Something like this may make analysis possible.
>
> Once analyzed, is there a way to, say, read in only x rows at a time, save
> and score each subset separately, and finally append them back together?
>
> I haven't seen any information on this, if it is possible.  Thank you for
> reading, and sorry if the information was easily available and I simply
> didn't find it.
> -- 
> View this message in context: http://www.nabble.com/Dealing-With-Extremely-Large-Files-tp19695311p19695311.html
> Sent from the R help mailing list archive at Nabble.com.
>
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Charles C. Berry                            (858) 534-2098
                                             Dept of Family/Preventive Medicine
E mailto:cberry at tajo.ucsd.edu	            UC San Diego
http://famprevmed.ucsd.edu/faculty/cberry/  La Jolla, San Diego 92093-0901