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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

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Exercise instructions

  • Fit a GAM models to the mcycle data with accel as a smooth function of times 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)
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