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seplyr update

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.

Please see here for details.

Categories: Administrativia Exciting Techniques Tutorials

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Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.

1 reply

  1. 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

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