[R] Large Dataset

[Edwin Sendjaja]

I think he meant:
?Memory

edwin


>   When I do it on a Mac installation I get:
>
> Help for the topic "memory" was not found.
>
> Is that a Linux-specific function? Or perhaps you meant to type:
>
> ?Memory
>
> Which does produce useful information.
>
> --
> David Winsemius
>
>  > sessionInfo()
>
> R version 2.8.0 Patched (2008-11-14 r46932)
> i386-apple-darwin9.5.0
>
> locale:
> en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8
>
> attached base packages:
> [1] grid      stats     graphics  grDevices utils     datasets
> methods   base
>
> other attached packages:
> [1] vcd_1.2-1        colorspace_1.0-0 MASS_7.2-45      rattle_2.4.0
>
> loaded via a namespace (and not attached):
> [1] tools_2.8.0
>
> On Jan 6, 2009, at 6:43 AM, Simon Pickett wrote:
> > type
> >
> > ?memory
> >
> > into R and that will explain what to do...
> >
> > S
> > ----- Original Message ----- From: "Edwin Sendjaja" <edwin7 at web.de>
> > To: <r-help at r-project.org>
> > Sent: Tuesday, January 06, 2009 11:41 AM
> > Subject: [R] Large Dataset
> >
> >> Hi alI,
> >>
> >> I  have a 3.1 GB Dataset ( with  11 coloumns and lots data in int
> >> and string).
> >> If I use read.table; it takes very long. It seems that my RAM is
> >> not big
> >> enough (overload) I have 3.2 RAM and  7GB SWAP, 64 Bit Ubuntu.
> >>
> >> Is there a best sultion to read a large data R? I have seen, that
> >> people
> >> suggest to use bigmemory package, ff. But it seems very
> >> complicated.  I dont
> >> know how to start with that packages.
> >>
> >> i have tried to use bigmemory. But I got some kind of errors.  Then
> >> I gave up.
> >>
> >>
> >> can someone give me an simple example how ot use ff or bigmemory?or
> >> maybe re
> >> better sollution?
> >>
> >>
> >>
> >> Thank you in advance,
> >>
> >>
> >> Edwin
> >>
> >> ______________________________________________
> >> R-help at 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 at 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.