Using the princomp function

In this exercise you will use the princomp() function to calculate the principal components (PCs) of a dataset. We will use the pca.state object created in this exercise throughout the rest of this chapter.

Bu egzersiz

Multivariate Probability Distributions in R

kursunun bir parçasıdır

Kursu Görüntüle

Egzersiz talimatları

Calculate the principal components, and the scores of the PCs, of the state.x77 dataset based on the correlation matrix and store it as pca.state.
Provide a plot and print the summary of the principal component object.

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

# Calculate PCs
pca.state <- princomp(___, cor = ___, scores = ___) 

# Plot the PCA object  
plot(___) 

# Print the summary of the PCs
summary(___)

Kodu Düzenle ve Çalıştır