[R] Large Dataset

[Simon Pickett]

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.
>
>
>