RE: [R] naive question

[Peter Wilkinson]

I am working with data sets that have 2 matrices of 300 columns by 19,000 
rows , and I manage to get the data loaded in a reasonable amount of time. 
Once its in I save the workspace and load from there. Once I start doing 
some work on the data, I am taking up about 600 Meg's of RAM out of the 1 
Gig I have in the computer.I will soon upgrade to 2 Gig because I will have 
to work with an even larger data matrix soon.

I must say that the speed of R given with what I have been doing, is 
acceptable.

Peter

At 07:59 PM 6/29/2004, Vadim Ogranovich wrote:
 R's IO is indeed 20 - 50 times slower than that of equivalent C code no
matter what you do, which has been a pain for some of us. It does
however help read the Import/Export tips as w/o them the ratio gets much
worse. As Gabor G. suggested in another mail, if you use the file
repeatedly you can convert it into internal format: read.table once into
R and save using save()... This is much faster.
In my experience R is not so good at large data sets, where large is
roughly 10% of your RAM.
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