The development version of my new R package seplyr is performing in practical applications with dplyr 0.7.* much better than even I (the seplyr package author) expected.
I think I have hit a very good set of trade-offs, and I have now spent significant time creating documentation and examples.
I wish there had been such a package weeks ago, and that I had started using this approach in my own client work at that time. If you are already a dplyr user I strongly suggest trying seplyr in your own analysis projects.
Categories: Administrativia Exciting Techniques Tutorials
jmount
Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.
I am using wrapr in production code and it works perfectly as I told you sometime ago. Is there any reason to switch to seplyr from wrapr? “let” is easy to understand and the code is expressive.
A quick read in README suggest that the verbs of seplyr come in pair with dplyr verb