I stored all the results in a single big list and I was surprised to see that the memory usage was nearly a 1 GB, but calling object.size() on the results list only returned about 5 MB (I only store two numbers from each fitted model object). When I saved the results list the compressed workspace file was ~90MB.
The only thing I'd done differently from previous runs is store the error/warning objects. Is there some environment that is being saved with a simpleError/Warning object that could be taking up all the memory? I couldn't find any indication on the help page for tryCatch().
Thanks,
-roger -- Roger D. Peng http://www.biostat.jhsph.edu/~rpeng/
______________________________________________ R-devel@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-devel