2 - Interpreting and Visualizing GAMs

In this chapter, you will take a closer look at the models you fit in chapter 1 and learn how to interpret and explain them. You will learn how to make plots that show how different variables affect model outcomes. Then you will diagnose problems in models arising from under-fitting the data or hidden relationships between variables, and how to iteratively fix those problems and get better results.

1Interpreting GAM outputs

2Significance and linearity

3Visualizing GAMs

4Plotting the motorcycle crash model and data

5Plotting multiple auto performance variables

6Visualizing auto performance uncertainty

7Model checking with gam.check()

8Reading model diagnostics

9Fixing problems with model diagnostics

10Checking concurvity

11Examining overall concurvity in auto data

12Examining concurvity between auto variables