Michael,
In a nutshell:
Data manipulation is generally easier in SAS than R.
R syntax is more elegant that SAS syntax.
R is open source
SAS is proprietary
SAS handles large data sets somewhat better than R.
SAS runs somewhat faster than R for many jobs
R output is more concise that is SAS output.
R is free, SAS is not.
R is gaining popularity with academics, SAS has a strong foothold in
industry and academia.
Both are very powerful tools.
Neither R nor SAS are worth anything if the person doing the analyses
does not know what he, or she is doing.
John
John Sorkin M.D., Ph.D.
Chief, Biostatistics and Informatics
Baltimore VA Medical Center GRECC and
University of Maryland School of Medicine Claude Pepper OAIC
University of Maryland School of Medicine
Division of Gerontology
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
410-605-7119
[log in to unmask]
>>> Michael Griffiths <[log in to unmask]> 04/20/06 9:34 AM
>>>
Dear allstat,
This is a question of general interest really, I hear an awful lot
about the SAS package. Indeed, when job adverts appear connected with
clinical data analysis (CRO) this package is nearly always cited as a
definite prerequisite. My question is this, If one were to compare R
with SAS what would be the strengths and weaknesses of R compared to
SAS, or the other way round if easier.
Thanks in advance
Mike Griffiths
Michael Griffiths, Ph.D.
Chemometrician
Training, Quality and Statistics Group
LGC Limited
Queens Road
Teddington
Middlesex, TW11 0LY, UK
Tel: +44 (0)20 8943 7352
Fax: +44 (0)20 8943 2767
e-mail: [log in to unmask]
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