Data Science Science Statistics

A Trunkful of Win-Vector R Packages


If you follow the Win-Vector blog, you know that we have developed a number of R packages that encapsulate our data science working process and philosophy. The biggest package, of course, is our data preparation package, vtreat, which implements many of the data treatment principles that I describe in my white-paper, here.We’ve also got packages for managing non-standard evaluation environments, such as dplyr; for reporting model summaries and statistics; for conveniently generating common statistical visualizations (at least, the ones we use a lot); and for step-debugging.

Now, all these packages are up on CRAN. Hopefully, you will find this functionality as useful as we do.

Please see this post on the Win-Vector blog for links to descriptions of all our packages.

By nzumel

I dance. I'm a data scientist. I'm a dancing data scientist. In my spare time, I like to read folklore (and research about folklore), ghost stories, random cognitive science papers, and to sometimes blog about it all.