[R-SIG-Mac] bug in R.app GUI 1.40 for Mac when running R (Under development (unstable)
simon.urbanek at r-project.org
Sun Jul 10 21:35:55 CEST 2011
I highly doubt that this has anything to do with the GUI as it's not even involved in the trace. Also I can't reproduce it with the latest nightly build even on 10.5.8:
R Under development (unstable) (2011-07-09 r56345)
Platform: i386-apple-darwin9.8.0/i386 (32-bit)
attached base packages:
 stats graphics grDevices utils datasets methods base
other attached packages:
 "Normal Completion"
However, you setup seems fishy - there is no 1.41 GUI build for R-devel, so are you sure you installed the correct files? If you are not using the nightly builds, then you will need to provide a lot more detail - compilers used, exact configure, BLAS etc. - and then then you may have to look at the backtrace yourself since the CRAN setup doesn't seem at have that issue.
On Jul 10, 2011, at 11:41 AM, William Revelle wrote:
> Simon and the other developers of the wonderful R.Gui for the Mac,
> The following code (anything using mvtnorm) reliably crashes R (under development) when running from the GUI, but not when running from the X11 window or under R-Studio.
> I reported this several months ago but was told to wait for a newer release. I believe I have the latest versions of R (unstable), the R GUI, and mvtnorm.
> R Under development (unstable) (2011-07-08 r56336)
> Platform: i386-apple-darwin9.8.0/i386 (32-bit)
>  en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
> attached base packages:
>  stats graphics grDevices utils datasets methods base
> other attached packages:
>  mvtnorm_0.9-9991 psych_1.0.99
> *** caught bus error ***
> address 0x0, cause 'non-existent physical address'
> 1: .Fortran("mvtdst", N = as.integer(n), NU = as.integer(df), LOWER = as.double(lower), UPPER = as.double(upper), INFIN = as.integer(infin), CORREL = as.double(corrF), DELTA = as.double(delta), MAXPTS = as.integer(x$maxpts), ABSEPS = as.double(x$abseps), RELEPS = as.double(x$releps), error = as.double(error), value = as.double(value), inform = as.integer(inform), PACKAGE = "mvtnorm")
> 2: probval.GenzBretz(algorithm, n, df, lower, upper, infin, corr, corrF, delta)
> 3: probval(algorithm, n, df, lower, upper, infin, corr, corrF, delta)
> 4: mvt(lower = lower, upper = upper, df = 0, corr = corr, delta = mean, algorithm = algorithm, ...)
> 5: pmvnorm(lower = low, upper = upp, mean = args$mean, corr = args$corr, sigma = args$sigma, algorithm = algorithm)
> 6: f(upper, ...)
> 7: uniroot(pfct, interval = interval)
> 8: qmvnorm(0.95, sigma = diag(2), tail = "both")
> Good luck and thanks for all the great work.
> William Revelle http://personality-project.org/revelle.html
> Professor http://personality-project.org
> Department of Psychology http://www.wcas.northwestern.edu/psych/
> Northwestern University http://www.northwestern.edu/
> Use R for psychology http://personality-project.org/r
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