[R] "Program" files

[A.J. Rossini]

While I think Sweave is great it might be overkill for the specific
problem mentioned.

The point is that you can script R similarly to S-PLUS.  Not quite as
easily as the newer versions of S-PLUS, perhaps.  However, some of us
still use R, S-PLUS, Stata, and SAS using the same approach (via
unifying interfaces such as ESS/Emacs, or text editors and loading the
resulting files).  Is this what you are asking?

best,
-tony



Ulises Mora Alvarez <umalvarez at fata.unam.mx> writes:

> Hi:
>
> Take a look a Sweave....
>
>> library(tools)
>> ?Sweave
>
> Or at the R News 2/3 December 2003.
>
>
>
>
> On Tue, 6 May 2003 MZodet at ahrq.gov wrote:
>
>> Is there any such thing as a program file in R?  That is, is it possible to
>> compile and save code for performing data management and analytic tasks for
>> a given project into a single/multiple file(s) (i.e., like a script file
>> (S-Plus), a do file (STATA), or a *.sas file (SAS))?
>> 
>> Any words of wisdom or a point in the direction of some documentation would
>> be helpful.  If it is not possible to work with such files I would not mind
>> some advice on how I should be thinking about organizing my work differently
>> in R compared to these other programs.  Typically, I provide relatively
>> thorough project documentation in my program files so that if someone else
>> inherits them they can pick-up on them quickly.
>> 
>> Thanks.
>> 
>> Marc
>> 
>> Marc W. Zodet, MS
>> Health Statistician
>> Agency for Healthcare Research and Quality
>> Rockville, Maryland 20841
>> mzodet at ahrq.gov
>> 
>> 	[[alternate HTML version deleted]]
>> 
>> ______________________________________________
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>> 
>
> -- 
> Ulises M. Alvarez
> LAB. DE ONDAS DE CHOQUE
> FISICA APLICADA Y TECNOLOGIA AVANZADA
> UNAM
> umalvarez at fata.unam.mx
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://www.stat.math.ethz.ch/mailman/listinfo/r-help
>

-- 
A.J. Rossini rossini at u.washington.edu http://software.biostat.washington.edu/ 
Biostatistics, U Washington and Fred Hutchinson Cancer Research Center

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