dplyr is one of the most popular R packages. It is powerful and important. But is it in fact easily comprehensible? Continue reading Is dplyr Easily Comprehensible?
Month: August 2017
Thank You For The Very Nice Comment
Somebody nice reached out and gave us this wonderful feedback on our new Supervised Learning in R: Regression (paid) video course.
Thanks for a wonderful course on DataCamp on
XGBoostandRandom forest. I was struggling withXgboostearlier andVtreathas made my life easy now :).
Supervised Learning in R: Regression
We are very excited to announce a new (paid) Win-Vector LLC video training course: Supervised Learning in R: Regression now available on DataCamp
More on “The Part-Time R-User”
I have some more thoughts on the topic: “the part-time R-user.” Continue reading More on “The Part-Time R-User”
Let’s Have Some Sympathy For The Part-time R User
When I started writing about methods for better "parametric programming" interfaces for dplyr for R dplyr users in December of 2016 I encountered three divisions in the audience:
dplyrusers who had such a need, and wanted such extensions.dplyrusers who did not have such a need ("we always know the column names").dplyrusers who found the then-current fairly complex "underscore" andlazyevalsystem sufficient for the task.
Needing name substitution is a problem an advanced full-time R user can solve on their own. However a part-time R would greatly benefit from a simple, reliable, readable, documented, and comprehensible packaged solution. Continue reading Let’s Have Some Sympathy For The Part-time R User