To me, R is the language of choice for a rapidly increasing number
of people involved in new statistical algorithm development. If they
are happy with the tools they currently use, learning R may be a lot of
pain for little gain.
However, if they want to stay current with the latest developments
in almost any area of statistics, I know of no better way than to
subscribe to some of the R mailing lists (or related lists like
Bioconductor). To me, reading those is like attending a professional
meeting a few minutes per day.
Hope this helps.
Spencer Graves
Ove Hufthammer wrote:
On Wed, 11 Nov 2009 10:51:53 -0500 Duncan Murdoch <murd...@stats.uwo.ca>
wrote:
If you know their applications you can show how well R does there,
And do mention the (increasing) number of books available. It's only a
slight exaggeration to say that there are R books on almost any
application you could think of.
--
Spencer Graves, PE, PhD
President and Chief Operating Officer
Structure Inspection and Monitoring, Inc.
751 Emerson Ct.
San José, CA 95126
ph: 408-655-4567
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