Dear list, when iterating over a set of Rdata files that are loaded, analyzed and then removed from memory again, I experience a *significant* increase in an R process' memory consumption (killing the process eventually).
It just seems like removing the object via |rm()| and firing |gc()| do not have any effect, so the memory consumption of each loaded R object cumulates until there's no more memory left :-/ Possibly, this is also related to XML package functionality (mainly |htmlTreeParse| and |getNodeSet|), but I also experience the described behavior when simply iteratively loading and removing Rdata files. I've put together a little example that illustrates the memory ballooning mentioned above which you can find here: http://stackoverflow.com/questions/9220849/significant-memory-issue-in-r-when-iteratively-loading-rdata-files-killing-the Is this a bug? Any chance of working around this? Thanks a lot and best regards, Janko [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
