Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at imail.org
801.408.8111
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Juliet Hannah
> Sent: Monday, April 20, 2009 9:49 AM
> To: r-help at r-project.org
> Subject: [R] what is R best for; what should one learn in addition to R
>
> Hi,
>
> I've been working with R for a couple of years, and I've
> been able to get most of the things done that I needed (sometimes in
> a roundabout way). A few experienced statisticians told me that
> R is best for interactive data analysis, but for large-scale
> computations, one needs something else.
>
> I understand that this all depends on what you are trying to
> accomplish, and R offers many ways to make large-scale
> computing possible.
>
> I am seeking advice from those of you who do statistical
> programming outside of R. What do you use, and what kinds
> of applications require you to use something other than R?
>
> I have some experience with Java, C++, and Perl. Where would you
> suggest that I concentrate my efforts so that if R does not handle
> what I need well, I will be equipped to handle it.
>
> Thanks,
>
> Juliet
>
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