Hi
SAS is famous for handling large data sets. For more than 10 years ago S+
introduced a module for large data sets. Never used it, more money for license
for a poor research institute.
Today I have a laptop with 8 Gb. If that's not enough then the head nodes on
our cluster has 64 Gb and some nodes 196 Gb.
But from time to time it could be an advantage to do some analysis using the
laptop.
So my question is: which kind of functionality for large data sets do the R
community offers?
Br.
Frede
Sendt fra Samsung mobil
-------- Oprindelig meddelelse --------
Fra: Frank Harrell
Dato:06/06/2014 14.43 (GMT+01:00)
Til: RHELP
Emne: Re: [R] SAS VS R - What type of analysis is better?
I can't think of an example where R does not work better than SAS except
for a few cases of mixed effects regression models and for processing
enormous datasets when the R user does not want to learn about the
latest R tools for large datasets. I quit using SAS in 1991 (in favor
of S-Plus and transitioned to R around 2000) and have never looked back.
Lately what has really made R powerful is its ability to interface
with other languages and especially the way it works in a reproducible
analysis/dynamic report document context.
Frank
--
Frank E Harrell Jr Professor and Chairman School of Medicine
Department of Biostatistics Vanderbilt University
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