R for Data Science

Re:R for Data Science by hadley on Friday September 16, 2016 @02:24PM (#12516113)

I don't think modelr is going to change significantly in the future. It solved a pressing problem (fitting models as part of a pipeline) so I could teach modelling using the same interface as everything else in the book.

However, the modelling infrastructure in R is generally showing it's age, and thinking about how to make modelling easier is something that I will be working on in the coming months.

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Re:R for Data Science by dandermotj on Friday September 16, 2016 @07:19PM (#12518087)

I saw the vctrs package repo the other day on your GitHub. What's your plan with that? I guess your covering all of R's base data types (dplyr:data frames, purrr:lists, forcats:factors, vctrs:vectors)? Also do you plan on developing further functional programming packages?

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Re:R for Data Science by hadley on Saturday September 17, 2016 @09:37AM (#12520422)

Yes. You can read the issues for what the package will start with.

No plans for more FP packages in the near future, although I do want to add multicore and progress bars to purrr.

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Re:R for Data Science by dreww2 on Friday September 16, 2016 @03:00PM (#12516440)

Sounds great. Something like a tidyverse version of the data pipeline capabilities of scikit-learn would be awesome.

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