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!
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