[R] Suggestions for statistical computing course

[John Kane]

--- Ravi Varadhan <rvaradhan at jhmi.edu> wrote:

> Hi Giovanni,
> 


I have been quite satisfied with Tinn-R
(http://www.sciviews.org/Tinn-R/ )  in a Windows
environment.  

It is small fast and I can run both it and R from a
USB if I need a portable setup.


> 2. I do most of my work in R using Emacs and ESS.
> That means that I
>    keep a file in an emacs window and I submit it to
> R one line at a
>    time or one region at a time, making corrections
> and iterating as
>    needed. When I am done, I just save the file with
> the last,
>    working, correct (hopefully!) version of my code.
> Is there a way of
>    doing something like that, or in the same spirit,
> without using
>    Emacs/ESS? What approach would you use to polish
> and save your code
>    in this case? For my course I will be working in
> a Windows
>    environment. 
>    
>    While I am looking for simple and effective
> solutions that do not
>    require installing emacs in our computer lab, the
> answer "you
>    should teach your students emacs/ess on top of R"
> is perfecly
>    acceptable.
>    
> 
> Thank you for your consideration, and thank you in
> advance for the
> useful replies.
> 
> Have a good day,
> Giovanni
> 
> -- 
> 
> Giovanni Petris  <GPetris at uark.edu>
> Department of Mathematical Sciences
> University of Arkansas - Fayetteville, AR 72701
> Ph: (479) 575-6324, 575-8630 (fax)
> http://definetti.uark.edu/~gpetris/
> 
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> ______________________________________________
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained,
> reproducible code.
>