Loadings and scores for the PCs
The primary goal of PCA is dimension reduction, which is often necessary to view high dimensional data. Plotting the PC scores in two dimensions is one way to visualize high dimensional data.
Latihan ini adalah bagian dari kursus
Multivariate Probability Distributions in R
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
# Create data frame of scores
scores.state <- data.frame(___)
# Plot of scores labeled by state name
ggplot(data = scores.state, aes(x = ___, y = ___, label = ___) +
geom_text( alpha = 0.8, size = 3) +
ggtitle("PCA of states data")