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.
Este ejercicio forma parte del curso
Unsupervised Learning in R
Instrucciones del ejercicio
- Create a PCA model of the data in
pokemon, settingscaletoTRUE. Store the result inpr.out. - Inspect the result with the
summary()function.
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Perform scaled PCA: pr.out
# Inspect model output