Seems to me that DataFrame is too flexible -- you can have very complex objects in the columns (anything that inherits from Vector) with which, in its current state, dplyr would not work too naturally. You would wind up doing a fair amount of coercion of such entities, so it seems to me that arranging a coercion of DataFrames satisfying specific conditions to data.frame would be a path of low resistance.
Ready to be corrected of course. On Thu, Apr 23, 2015 at 7:06 PM, Ryan C. Thompson <r...@thompsonclan.org> wrote: > Hi all, > > So, dplyr is a pretty cool thing, but it currently works with data.frame > and data.table, but not S4Vectors::DataFrame. I'd like to change that if > possible, and I assume that this would "simply" involve writing some glue > code. However, I'm not really sure where to start, and I expect things > might be complicated because dplyr uses S3 and S4Vectors uses S4. Can > anyone offer any pointers? > > -Ryan > > _______________________________________________ > Bioc-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/bioc-devel > [[alternative HTML version deleted]] _______________________________________________ Bioc-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/bioc-devel
