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.
This exercise is part of the course
Unsupervised Learning in R
Exercise instructions
- Create a PCA model of the data in
pokemon, settingscaletoTRUE. Store the result inpr.out. - Inspect the result with the
summary()function.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Perform scaled PCA: pr.out
# Inspect model output