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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.

Este exercício faz parte do curso

Nonlinear Modeling with Generalized Additive Models (GAMs) in R

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Instruções do exercício

  • 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.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

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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