[R] Large Dataset

[David Winsemius]

  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.