> Third, there's a lot of nonstandard evaluation going on in all these > packages. Using them inside your own functions requires serious attention > (eg the difference between aes() and aes_() in ggplot2). Actually, even > though I definitely see the merits of these packages in data analysis, the > tidyverse feels like a (clean and powerful) macro language on top of R.
That is going to change as we have put a lot of effort into learning how to deal with capturing functions. See the tidyeval framework which will enable full and flexible programmability of tidyverse grammars. That said I agree that data analysis and package programming often require different sets of tools. Lionel ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
