Such things are normally easy to find with valgrind and an instrumented build of R (see 'Writing R Extensions'), and so was this. Interestingly I got a different error immediately:
> gctorture(TRUE) > proc.time() Error: REAL() can only be applied to a 'numeric', not a 'character' and setting a breakpoint on that message traced it back. It was a missing PROTECT, and has now been fixed. On Wed, 23 Jan 2008, Hin-Tak Leung wrote: > Peter Dalgaard wrote: >> [EMAIL PROTECTED] wrote: >>> In R version 2.6.1 (2007-11-26) >>> and R version 2.6.1 Patched (2008-01-19 r44061) >>> on openSUSE 10.2 (X86-64) >>> >>> >>>> gctorture() >>>> proc.time() >>>> >>> Error: protect(): protection stack overflow >>> >>> The problem with this is that then >>> >>> R CMD check --use-gct foo >>> >>> ALWAYS FAILS with >>> >>> >>>> cat("Time elapsed: ", proc.time() - get("ptime", pos = 'CheckExEnv'),"\n") >>>> >>> Error in proc.time() - get("ptime", pos = "CheckExEnv") : >>> non-numeric argument to binary operator >>> >>> This does not happen in R version 2.4.1 (2006-12-18) >>> >>> I was going to have my computing class try out --use-gct. >>> I guess not until this is fixed. >>> >>> >> I can reproduce this on SUSE 10.2 64 bit and Fedora 7 64 bit, but not on >> SUSE 10.3 32 bit and Fedora 8 32 bit. (The OS versions are likely not >> relevant, I bet it is a 64 bit issue somewhere). > > I can be a bit more precise - I have both 32-bit R and 64-bit R built > and installed on fedora 8 64-bit, just one and same box. > > 32-bit R finishes quite quickly with: > > > proc.time() > user system elapsed > 0.772 0.032 10.147 > > 64-bit R takes up 49s CPU time (from ps). This is long compared to > either 10s (elapse) or 1s (user+sys). And it ends with: > Error: protect(): protection stack overflow > > So yes, it looks like a 64-bit R specific bug. > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > -- Brian D. Ripley, [EMAIL PROTECTED] 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 ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel