More intensive checking of R help files
Hi, this sounds all good. One comment below:
On Fri, Jan 9, 2009 at 1:25 AM, Prof Brian Ripley <ripley at stats.ox.ac.uk> wrote:
We have been working on handling Rd (R help) files with R rather than Perl scripts. As part of that work, Duncan has written a parser which has revealed many problems in package help files, and we have added its checks to 'R CMD check' in the R-devel version of R. You can see the results for CRAN packages as part of the daily check at http://cran.r-project.org/web/checks/check_summary.html: they will show up as 'WARN' in the first two columns: click on the link to see the details for the package you are interested in. The dialect of Rd markup for which the parser checks differs in some ways from that described previously: see http://developer.r-project.org/parseRd.pdf for a current description: however almost all the errors found are errors under the existing description in 'Writing R Extensions'. The main difference is that \code is in the new version intended for valid R code and not fragments of R code or other languages (such as SQL). This means that quotes (' " `) must balance inside \code, and that can lead to run-on errors (so if a parse error is found, quoted strings extending over more than one line are reported). \samp and where appropriate \kbd, \command, \options ... provide possible alternatives.
Then what is the plan for all statements like:
\code{\link[lattice]{panel.xyplot}}
/Henrik
Another issue is that it was never intended to allow fragments of LaTeX in
Rd files, and these only worked in latex (rather than text or HTML)
conversion. Not all of these are parse errors, but they often lead to
warnings about 'unknown macros'. Using \eqn{} would resolve almost all of
these and lead to more readable help.
The CRAN master will from now on be mentioning these warnings when handling
submissions.
It would be helpful if package maintainers could look at and fix the errors
as soon as possible.
Brian Ripley and Duncan Murdoch
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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