Complexity and smoothing together
The number of basis functions and the smoothing parameters interact to control the wiggliness of a smooth function. Here you will see how changing both together affects model behavior.
This exercise is part of the course
Nonlinear Modeling with Generalized Additive Models (GAMs) in R
Exercise instructions
- Fit a GAM models to the
mcycle
data withaccel
as a smooth function oftimes
with 50 basis functions and a smoothing parameter of 0.0001. - Visualize the model.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
library(mgcv)
# Fit the GAM
gam_mod_sk <- ___
#Visualize the model
plot(gam_mod_sk, residuals = TRUE, pch = 1)