R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages

© Thomas Mailund 2019

Thomas MailundR Data Science Quick Referencehttps://doi.org/10.1007/978-1-4842-4894-2_11

11. Working with Models: broom and modelr

Thomas Mailund¹ 

(1)

Aarhus, Denmark

 

There are many models to which you can fit your data, from classical statistical models to modern machine learning methods, and a thorough exploration of R packages that support this is well beyond the scope of this book. The main concern when choosing and fitting models is not the syntax, and this book is, after all, a syntax reference. We will look at two packages that aim at making a tidy interface to models.

The two packages, broom and modelr, are not loaded with tidyverse so you must load them individually.

library(broom)

library(modelr)

broom

When you fit a ...