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" <edw...@web.de>
To: "Simon Pickett" <simon.pick...@bto.org>
Cc: <r-help@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" <edw...@web.de>
To: <r-help@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@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@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.