From the posting guide:

  For questions about unexpected behavior or a possible bug, you should,
  at a minimum, copy and paste the output from sessionInfo() into your
  message.

(This would have told us the rpart version number.)

  When mentioning version numbers, always use the full version number,
  e.g., `2.6.1', not just `2.6', and also mention the platform
  (Windows2000, Linux, MacOS X, with their versions).

  If the question relates to a contributed package , e.g., one downloaded
  from CRAN, try contacting the package maintainer first.

(rpart is a contributed package: see library(help="rpart").)

And from the FAQ:

  Bug reports on contributed packages should be sent first to the
  package maintainer, and only submitted to the R-bugs repository by
  package maintainers, mentioning the package in the subject line.

As the rpart maintainer I can tell you that this will be changed to use dev.new() in the next release, but the current release (3.1-41) is over 6 months' old and predates development of 2.8.0.

On Wed, 15 Oct 2008, [EMAIL PROTECTED] wrote:

Hi,

This happens in 2.8 and 2.9.  I am posting this here because I am not sure
if one should use bug.report for reporting bugs in unreleased versions.

I was trying to run the example from the help page of plot.rpart.  I got

library(rpart)
fit <- rpart(Price ~ Mileage + Type + Country, cu.summary)
plot(fit, compress=TRUE)
Error in get(getOption("device")) : invalid first argument

This also produces a blank graphics window.  When I run the plot command
again everything seems to work fine, so the error only occurs when the
graphics window is not open.

I use Windows XP SP2.  I just compiled the newest RC of 2.8 (R version
2.8.0 RC (2008-10-14 r46714)).  I ran "make fullcheck" on it and
everything checked out fine.

The same thing happens in 2.9 but it worked fine in 2.7.2.

Andy


__________________________________
Andy Jaworski
518-1-01
Process Laboratory
3M Corporate Research Laboratory
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Brian D. Ripley,                  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
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