Closed FridljDa closed 1 year ago
There is probably in an issue with your R-environment, package compilation, or package dependencies. First, I would recommend upgrading to the latest version of R.
Thank you for answering so quickly! I agree that the issue must have something to do with the set-up on the remote machine, because it works on my local machine and used to work on the remote machine a few days ago. The issue persists on the remote machine when I switch to the latest R-version available there:
sessionInfo():
R version 4.2.2 (2022-10-31)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Rocky Linux 8.8 (Green Obsidian)
Matrix products: default BLAS/LAPACK: /g/easybuild/x86_64/Rocky/8/haswell/software/FlexiBLAS/3.2.1-GCC-12.2.0/lib64/libflexiblas.so.3.2
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages: [1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached): [1] compiler_4.2.2 tools_4.2.2
It will take a while, but you might want to update all your installed R-packages on the remote machine. I think there's a script out there somewhere that makes this easier. We don't have a lot of dependencies, though, and I suspect it's actually a complier issue. When you install our package, is it installing pre-compiled binaries, or are you installing from source?
I am downloading it from source: install.packages("randomForestSRC", type="source")
. I will try to update the dependent packages.
Requesting more memory via slurm solved the issue. Thank you for your prompt help!
I am coding in R. randomForestSRC works on one machine, but crashes the R session on another machine (see enclosed screenshot). What are the strategies to debug the issue? Since the R session crashed, I do not have an error message to work from.
I tried running on different R version on the same Linux machine. I tried redownloading the randomForestSRC package. It did not resolve the issue.