R: the good parts
Does anyone know of a good explanation of how plyr, dplyr, data.table and *apply functions differ? I'd love to read an in-depth analysis of each and make an informed decision on which one to use going forward.<p>My current m.o. is to use data.frames as needed and plyr if I need to do any serious manipulation (which means that every time I use plyr, I need to read the docs). There's a lot of benefit to picking one direction and sticking with it...