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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

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Exercise instructions

  • Load the mgcv package.
  • Fit a model to the mcycle data where accel has a smooth, nonlinear relation to times using the gam() 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)
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