[R] memory management

[Uwe Ligges]

Pan_Yuming at aam.de wrote:
> 
> dear uwe ligges,
> 
> thanks for your response. i have problems when importing and handling large
> data sets in R. i know read.table() is not optimal for it. what i want to
> know how to deal with large datasets efficiently in R with respect to
>  1. importing large data from a text file
>  2. subsequent manipulations in R
> 
> and also some general guidelines to improve efficiency.

Please give us some more information! We cannot help, if you don't
describe your problem exactly.
"Importing large data" and "subsequent manipulations" sounds like: 
   Please tell me how to use R!

As mentioned in my last mail: At first read the FAQ and "An introduction
to R".

To import large data sets you might want to start R with specified
memory size, e.g.:
   R --nsize=500K --vsize=20M 
or 
   c:\.....\RGui.exe --nsize=500K --vsize=20M   (if you are on windows)
But that's also described in the FAQ.

Regards,
Uwe Ligges
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