This is the website for Tidy Modeling with R. This book is a guide to using a new collection of software in the R programming language for model building, and it has two main goals:
- First and foremost, this book provides an introduction to how to use our software to create models. We focus on a dialect of R called the tidyverse that is designed to be a better interface for common tasks using R. If you’ve never heard of or used the tidyverse, Chapter 2 provides an introduction. In this book, we demonstrate how the tidyverse can be used to produce high quality models. The tools used to do this are referred to as the tidymodels packages.
- Second, we use the tidymodels packages to encourage good methodology and statistical practice. Many models, especially complex predictive or machine learning models, can work very well on the data at hand but may fail when exposed to new data. Often, this issue is due to poor choices made during the development and/or selection of the models. Whenever possible, our software, documentation, and other materials attempt to prevent these and other pitfalls.