[R] Large Dataset

[Edwin Sendjaja]

Hi Simon,

My RAM is only 3.2 GB (actually it should be 4 GB, but my Motherboard doesnt 
support it.

R use almost of all my RAM and half of my swap. I think memory.limit will not 
solve my problem.  It seems that I need  RAM.

Unfortunately, I can't buy more RAM.

Why R is slow reading big data set?


Edwin

> Only a couple of weeks ago I had to deal with this.
>
> adjust the memory limit as follows, although you might not want 4000, that
> is quite high....
>
> memory.limit(size = 4000)
>
> Simon.
>
> ----- Original Message -----
> From: "Edwin Sendjaja" <edwin7 at web.de>
> To: "Simon Pickett" <simon.pickett at bto.org>
> Cc: <r-help at r-project.org>
> Sent: Tuesday, January 06, 2009 12:24 PM
> Subject: Re: [R] Large Dataset
>
> > Hi Simon,
> >
> > Thank for your reply.
> > I have read ?Memory but I dont understand how to use. I am not sure if
> > that
> > can solve my problem. Can you tell me more detail?
> >
> > Thanks,
> >
> > Edwin
> >
> >> 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.