PCA using prcomp()
In this exercise, you will create your first PCA model and observe the diagnostic results.
We have loaded the Pokemon data from earlier, which has four dimensions, and placed it in a variable called pokemon. Your task is to create a PCA model of the data, then to inspect the resulting model using the summary() function.
Questo esercizio fa parte del corso
Unsupervised Learning in R
Istruzioni dell'esercizio
- Create a PCA model of the data in
pokemon, settingscaletoTRUE. Store the result inpr.out. - Inspect the result with the
summary()function.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Perform scaled PCA: pr.out
# Inspect model output