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Adding categorical to the auto performance model

Now you'll include categorical variables in your model. Categories are inherently linear, so you'll model them as linear terms.

Diese Übung ist Teil des Kurses

Nonlinear Modeling with Generalized Additive Models (GAMs) in R

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Anleitung zur Übung

  • Fit a GAM to the mpg data, modeling city.mpg as a sum of smooth functions of weight, length, and price, and also include the categorical terms fuel, drive, and style.
  • Use the plot() function provided to visualize the model.

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

library(mgcv)

# Fit the model
mod_city2 <- gam(city.mpg ~ s(weight) + s(length) + s(price) ___, 
                 data = mpg, method = "REML")

# Plot the model
plot(mod_city2, all.terms = TRUE, pages = 1)
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