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" <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
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and provide commented, minimal, self-contained, reproducible code.
______________________________________________
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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.
