Motorcycle crash data: non-linear approach
Now you will fit a non-linear model to the same mcycle
data using the gam()
function from
the mgcv package.
This exercise is part of the course
Nonlinear Modeling with Generalized Additive Models (GAMs) in R
Exercise instructions
- Load the
mgcv
package. - Fit a model to the
mcycle
data whereaccel
has a smooth, nonlinear relation totimes
using thegam()
function. - Visualize the model fit using the provided call to
plot()
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Load mgcv
___
# Fit the model
gam_mod <- gam(___ ~ s(___), data = mcycle)
# Plot the results
plot(gam_mod, residuals = TRUE, pch = 1)