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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.

Bu egzersiz

Nonlinear Modeling with Generalized Additive Models (GAMs) in R

kursunun bir parçasıdır
Kursu Görüntüle

Egzersiz talimatları

  • 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.

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

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)
Kodu Düzenle ve Çalıştır