Rd files with unknown encoding?
Here's a slightly cleaner version:
showNonASCII <- function(x)
{
ind <- is.na(iconv(x, "latin1", "ASCII"))
xxx <- iconv(x[ind], "latin1", "ASCII", sub="byte")
if(any(ind)) cat(which(ind), ": ", xxx, "\n", sep="")
}
used as
showNonASCII(readLines("foo.Rd"))
On Sat, 15 Dec 2007, Spencer Graves wrote:
Dear Prof. Ripley:
Thanks very much. I did as you suggested, which I'll outline here to
make it easier for anyone else who might have a similar problem:
* Read the offending *.Rd file in R using 'readLines'
* Applied 'iconv' to the character vector, following the last
example in the help file. This translated all offending characters into a
multi-character sequence starting with '<'.
* Used 'regexpr' to find all occurrences of '<'.
The latter identified other uses of '<' but produced a sufficiently
short list that I was able to find the problems fairly easily.
Thanks again.
Spencer Graves p.s. And in the future, I will refer 'Rd' questions to
'R-devel', per your suggestion.
Prof Brian Ripley wrote:
On Wed, 12 Dec 2007, Spencer Graves wrote:
How can I identify the problem generating a warning in R CMD check
for "Rd files with unknown encoding"?
Google identified an email from John Fox with a reply from Brian
Ripley about this last 12 Jun 2007.
But not on this list: https://stat.ethz.ch/pipermail/r-devel/2007-June/046055.html R-devel would have been more appropriate for this too.
This suggests that I may have accidentally entered some possibly non-printing character into the offending Rd file. The message tells me which file, but I don't know which lines in the file. Is there some way of finding the offending character(s) without laboriously running R CMD check after deleting different portions of the file until I isolate the problem?
I did say so in that thread: https://stat.ethz.ch/pipermail/r-devel/2007-June/046061.html You can do much the same in R via iconv("", "C", sub="byte"), provided you can read the file in (it may not be representable in your current locale, but you could run R in a Latin-1 locale, if your OS has one).
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