I have two character vectors x and y that have the following characteristics:
length(x) # same as length(y) # 872099 length(unique(x)) # 47740 length(unique(y)) # 52478 I need to crosstabulate them, which would lead to a table with 47740*52478 # 2505299720 cells, which is more than 2^31 # 2147483648 cells, which seems to be R's limit because I am getting the error message Error in table(x, y) : attempt to make a table with >= 2^31 elements Two questions: - is this really R's limit, even on a 64bit machine? It seems like it (given <https://stat.ethz.ch/R-manual/R-devel/library/base/html/Memory-limits.html> and <http://www.win-vector.com/blog/2015/06/r-in-a-64-bit-world/>, but I just want to make sure I understood that right); - I thought I could handle this with the package bigtabulate, but whenever I run xy.tab <- bigtable(data.frame(x, y), ccols=1:2) R crashes as follows: terminate called after throwing an instance of 'std::bad_alloc' what(): std::bad_alloc Aborted Any idea on what I am doing wrong with bigtabulate? Thanks for your consideration ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
