[R] In which application areas is R used?

Gavin Simpson gavin.simpson at ucl.ac.uk
Tue Jan 24 19:16:58 CET 2006


On Tue, 2006-01-24 at 13:24 +1100, John Maindonald wrote:
> In this context "extensive" might be use of R in at least maybe 2% or 5%
> of the published analyses in the area, enough to make waves and stir
> awareness.

Given that description, then ecology would more than likely make the
grade.

All the best,

Gav

> 
> The immediate subtext is the demand of a book publisher for a list of
> journals to which a new edition of a certain book might be sent for
> review, and for a list of conferences where it might be given exposure.
> For myself, in the medium to longer term, I am more interested in other
> subtexts such as you mention, to which the answer might have relevance.
> 
> I've wondered what support there'd be for starting a database of
> bibliographic information on papers where R was used for the analysis.
> Authors might supply the information, or readers of a paper suggest its
> addition to the database. Once well populated, this would provide a useful
> indication of the range of application areas and journals where R is
> finding use.  [Or has someone, somewhere, already started such a
> database?]
> 
> Finance and biostatistics are obvious areas that I'd omitted.  Other areas
> drawn to my attention have been telephony and electronic networks, solid
> state etc manufacturing, computer system performance, oceanography and
> fisheries research, risk analysis, process engineering and marketing. (I
> hope my summaries are acceptably accurate).  I'm not sure what force these
> other respondents have given the word "extensive".
> John Maindonald
> Mathematical Sciences Institute
> Australian National University.
> john.maindonald at anu.edu.au
> 
> 
> Berton Gunter wrote:
> > Define "extensive."
> >
> > I think your answers depend on your definition. I know a bunch of folks
> in pharmaceutical preclinical R&D who use R for all sorts of stuff 
> (analysis and visualization of tox and efficacy animal studies,
> dose/response modeling, PK work, IC50 determination, stability data 
> analysis, etc.). Is "bunch" a majority? I strongly doubt that it's near.
> Is it 5%, 10%, 30% ?? Dunno. Excel is still the Big Boy in most of  these
> arenas I would bet. But I would also bet that there are at  least 1 or 2
> folks in dozens of companies who use R in for these things.
> >
> > Is there a subtext to your query? -- i.e. are you trying to make an
> argument for something?
> >
> > -- Bert
> >
> >
> >> -----Original Message-----
> >> From: r-help-bounces at stat.math.ethz.ch
> >> [mailto:r-help-bounces at stat.math.ethz.c
> 
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Gavin Simpson                     [T] +44 (0)20 7679 5522
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