[R] Debugging a program written in the R language
Michael H. Prager
Mike.Prager at noaa.gov
Wed Mar 8 22:34:12 CET 2006
From the R prompt, try typing
?source
A good editor, specialized for working with R source on Windows, is Tinn-R.
on 3/8/2006 4:12 PM Thomas L Jones said the following:
> >From Tom:
>
> The subject is debugging a program written in the R language,under
> Windows. (Sorry, but I do not know either the Apple OS or *nix.) A
> computer program will usually not work on the first try, if only
> because of the risk of typos. Instead, it must be debugged. Roughly,
> here is the sequence:
>
> (1) One codes a program using the R language, and stores it on the
> hard drive, using some particular editor.
>
> (2) The program is fed to the R software, together with test data,
> etc.
>
> (3) A test computation is run and bugs are spotted.
>
> (4) The program is corrected, using an editor, and the revised version
> is stored on the hard drive.
>
> (5) The sequence goes back to step (2) and is repeated until the
> program hopefully works.
>
> Unfortunately, the documentation doesn't really explain how to do all
> of this, or if it is explained in the documentation, I can't find it.
>
> Reading between the lines a bit, I infer that you are supposed to be
> able to use something called a History file, then sort of work
> backward in the code and make corrections. I never got it to work for
> me. Also, it is unclear how you would handle code entered six weeks or
> six months ago.
>
> That is the bad news; the good news is that some kind soul told me
> about a key trick; prepare the program in Windows text format (.txt)
> and copy it and paste it into the console. The program will now run
> from a user-defined "wrapper" or "driver" function.
>
> I am aware that there is an editor called Emacs which you can use if
> you are a member of the *nix community, which I am not.
>
> Question: How are you -supposed- to debug a program which you have
> written in the R language?
>
> Tom
> Thomas L. Jones, Ph.D., Computer Science
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
>
--
Michael Prager, Ph.D.
Population Dynamics Team, NMFS SE Fisheries Science Center
NOAA Center for Coastal Fisheries and Habitat Research
Beaufort, North Carolina 28516
http://shrimp.ccfhrb.noaa.gov/~mprager/
Opinions expressed are personal, not official. No
government endorsement of any product is made or implied.
More information about the R-help
mailing list