Slides from my talk on the broom package

(This article was first published on  Variance Explained, and kindly contributed to
R-bloggers)     

This weekend I gave a presentation on my
broom package for tidying model objects (see my introduction
here) at the
UP-STAT 2015 conference at SUNY Geneseo. I’m sharing the slides
here, along with some highlights below.

I first explained how broom fits with other tidy tools such as
dplyr,
tidyr and
ggplot2 as part of an exploratory data analysis workflow:



I explored the many small ways that a linear regression object is “messy”, which typify the obstacles of using tidy tools with model objects:



And I showed how broom made the process easy:



I gave an overview of the many kinds of objects broom can tidy:



I also touched on one of the more powerful analyses that broom can enable: namely, combining many models so that they can be compared and contrasted.



Enjoy the slides!