[R] REvolution

[Max Kuhn]

Well, I hesitate to discuss things like this on Rhelp, but I can tell
you about my experiences with them.

I have worked with them a bit. They have done R programming for my
company. For example, when odfWeave moved from heavy grepping to using
the xml package, they wrote the state-based xml parsing code (which
was not simple).  I've been pretty happy with their work.

I think that their strong suit are their parallel processing libraries
(see the nws package). I have been using those for a while now (see
the caretNWS package for example) and they work well. They also have
commercial versions of packages apart from nws.

I don't have any information about their commercially supported version of R

John - if you like, I can forward this thread to my contacts there.

(These are my opinions and not those of my company; I don't work for
them, etc etc.)

Max

On Jan 26, 2008 7:47 PM, John Kane <jrkrideau at yahoo.ca> wrote:
> http://www.revolution-computing.com/revolution_company.html
>
> seems to lead to something albeit vague.
>
> Lots of apparently big names but no indication of what
> added value the company might bring to an R user.
>
>
> --- John Maindonald <John.Maindonald at anu.edu.au>
> wrote:
>
>
> > Does anyone know any more than is in the following
> > press release
> > about REvolution Computing and their
> > commercialization of R?
> >
> >
> http://www.intel.com/capital/news/releases/080122.htm
> >
> > "Intel Capital, the global investment arm of Intel
> > Corporation, today
> > announced that it has invested in the Series A
> > financing of REvolution
> > Computing, creator of parallel computing software
> > for computational
> > statistics"
> >
> > "R has become the de-facto statistical language and
> > REvolution
> > Computing's R-based solutions provide the necessary
> > scale and support
> > for its growing commercial usage,� said Andre M.
> > Boisvert, Revolution
> > Computing board member. �With this investment,
> > Revolution Computing
> > can deliver the type of performance that has been
> > missing in existing
> > computational statistics offerings."
> >
> > "For more information on Revolution Computing, RPro,
> > and ParallelR,
> > visit
> > www.revolution-computing.com"
> >
> > At present though, unless you have better success
> > than me, all you
> > will get from the Revolution Computing site is a
> > revolutionary song!
> >
> > John Maindonald             email:
> > john.maindonald at anu.edu.au
> > phone : +61 2 (6125)3473    fax  : +61 2(6125)5549
> > Centre for Mathematics & Its Applications, Room
> > 1194,
> > John Dedman Mathematical Sciences Building (Building
> > 27)
> > Australian National University, Canberra ACT 0200.
> >
> > ______________________________________________
> > R-help at r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained,
> > reproducible code.
> >
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



-- 

Max