[R] static analysis tools for R code?

Luke Tierney luke at stat.uiowa.edu
Mon Apr 11 16:36:00 CEST 2005


There are some preliminary tools available in the codetools package
at

 	http://www.stat.uiowa.edu/~luke/R/codetools/

Hopefully these will be cleaned up and released via CRAN or
incorporated into R this summer.

luke

On Mon, 11 Apr 2005, Dimitris Rizopoulos wrote:

> If I understand well what you need then (I think) the answer is No; this is a 
> feature of the language called "Lazy Evaluation". For more info look at e.g., 
> the "R Language Definition" document, section 4.3.3.
>
> Best,
> Dimitris
>
> ----
> Dimitris Rizopoulos
> Ph.D. Student
> Biostatistical Centre
> School of Public Health
> Catholic University of Leuven
>
> Address: Kapucijnenvoer 35, Leuven, Belgium
> Tel: +32/16/336899
> Fax: +32/16/337015
> Web: http://www.med.kuleuven.ac.be/biostat/
>    http://www.student.kuleuven.ac.be/~m0390867/dimitris.htm
>
>
> ----- Original Message ----- From: "Vivek Rao" <rvivekrao at yahoo.com>
> To: <r-help at stat.math.ethz.ch>
> Sent: Monday, April 11, 2005 4:18 PM
> Subject: [R] static analysis tools for R code?
>
>
>> An R script will terminate when one tries to use an
>> undefined variable, with a message such as
>> 
>> Error in print(x) : Object "x" not found
>> 
>> This run-time error might occur after the script has
>> already been running for some time. In some cases it
>> would be nice to get such warnings before the script
>> is run, just as a syntax error caused by a missing
>> parenthesis is caught.
>> 
>> Are there any "static analysis" tools for R? Such a
>> tool would not have to be perfect to be useful.
>> Besides using undefined variables, defining variables
>> that are never used is something I'd like to be warned
>> about.
>> 
>> ______________________________________________
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>
> ______________________________________________
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>

-- 
Luke Tierney
Chair, Statistics and Actuarial Science
Ralph E. Wareham Professor of Mathematical Sciences
University of Iowa                  Phone:             319-335-3386
Department of Statistics and        Fax:               319-335-3017
    Actuarial Science
241 Schaeffer Hall                  email:      luke at stat.uiowa.edu
Iowa City, IA 52242                 WWW:  http://www.stat.uiowa.edu




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