On 21 January 2017 at 10:56, Hadley Wickham wrote: | To summarise this thread, there are basically three ways of handling int64 in R: | | * coerce to character | * coerce to double | * store in double | | ## Coerce to character
Serious performance loss. | ## Coerce to double Serious precision + functionality loss. Rember, int64, not int53, is what we are after. That that is what other systems we want to interop with have (bigtable indices). | ## Store in a double Best approach in my book, and done in bit64::integer. | This is the approach taken by the bit64 package (and, I believe, the Incorrect. That used an S4 class with two int32. The bit64 package has a bit on comparison. But as int64 is abandonware it doesn't matter either way. Dirk -- http://dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel