On Mar 15, 2010, at 14:42 , Adam D. I. Kramer wrote:
+1--this is the single most-annoying issue with R that I know of.
My usual solution, after accomplishing nothing as R spins idly for a
couple
hours, is to kill the process and lose any un-saved work.
save.history() is
my friend, but is a big delay when you work with big data sets as I
do, so I
don't run it after every command.
I have cc'd r-help here, however, because I experience this problem
with
non-OSX R as well...when I run it in Linux or from the OSX command-
line (I
compile R for Darwin without aqua/R-framework), the same thing
happens.
Is there some way around this? Is this a known problem?
"Hanging" for a long period of time is usually caused by poorly
written C/Fortran code. You can always interrupt R as long as it is in
the R code. Once you load a package that uses native code (C/
Fortran/..) you have to rely on the sanity of the developer to call
R_CheckUserInterrupt() or rchkusr() often enough (see 6.12 in R-ext).
If you have some particular package that does not do that, I would
suggest alerting the author. By definition this requires cooperation
from authors, because interrupting random code forcefully (as it was
possible many years ago) creates leaks and unstable states.
Cheers,
Simon
Google searching suggests no solution, timeline, or anything, but the
problem has been annoying users for at least twelve years:
http://tolstoy.newcastle.edu.au/R/help/9704/0151.html
Cordially,
Adam
On Mon, 15 Mar 2010, Matthew Keller wrote:
HI all,
Apologies for this question. I'm sure it's been asked many times, but
despite 20 minutes of looking, I can't find the answer. I never use
the GUI, I use emacs, but my postdoc does, so I don't know what to
tell her about the following:
Occasionally she'll mess up in her code and cause R to hang
indefinitely (e.g., R is trying to do something that will take days).
In these situations, is there an option other than killing R (and the
work you've done on your script to that point)?
Thank you,
Matthew Keller
--
Matthew C Keller
Asst. Professor of Psychology
University of Colorado at Boulder
www.matthewckeller.com
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