Thank you very much...
That was helpful..

On Jan 15, 2008 12:58 AM, Charles C. Berry <cberry@tajo.ucsd.edu> wrote:

> On Mon, 14 Jan 2008, Marko Milicic wrote:
>
> > Dear all,
> >
> > I'm trying to process HUGE datasets with R. It's very fast, but I would
> like
> > to optimize it a bit more, by focusing one one column at time..... say
> file
> > is 1GB big and has 100 columns..... In order to prevent "out of memory"
> > problems.... I need to load one column at the time.... the only problem
> is
> > that read.table doesn't support this feature....
> >
> >
> > Is there some thick which will do the magic?
>
> There is a unix utility called 'cut' that enables stuff like
>
>   columns.1.3.5.to.7 <- read.table( pipe( "cut -f1,3,5-7 myfile"  ) )
>
> and if you have numeric data only, using scan() directly will save some
> space.
>
> HTH,
>
> Chuck
>
> >
> >
> > Thank you in advance.
> >
> > --
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> >
>
> Charles C. Berry                            (858) 534-2098
>                                             Dept of Family/Preventive
> Medicine
> E mailto:cberry@tajo.ucsd.edu               UC San Diego
> http://famprevmed.ucsd.edu/faculty/cberry/  La Jolla, San Diego 92093-0901
>
>
>


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