Hi Folks, I've been bumping my head against the 4GB limit for 32-bit R. I can't go to 64-bit R due to package compatibility issues (ROBDC - possible but painful, xlsReadWrite - not possible, and others). I have a number of big dataframes whose columns all sorts of data types - factor, character, integer, etc. I run and save models that keep copies of the modeled data inside the model objects as well (mle2 objects, to be specific).
I'm searching for a way to cache some of these dataframes and objects to virtual memory (I think I'm using the right terminology...). I've read around, and while bigmemory and ff and the like would likely suit my purposes if I were just dealing with numeric matricies, I'm dealing with dataframes and objects. Any thoughts would be greatly appreciated! Thanks, Allie ______________________________________________ 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.
