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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