Calculating the proportion of variation explained

The proportion of variation and the cumulative proportion of variation explained by the leading PCs are widely used to determine the importance of the PCs and to decide the number of components to retain.

Deze oefening maakt deel uit van de cursus

Multivariate Probability Distributions in R

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Oefeninstructies

Using the pca.state object that contains the PCs of the state.x77 data, calculate the variance explained by each principal component.
Calculate the proportion of variance explained by each principal component.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Variance explained by each PC
pca.var <- ___$sdev^2  

# Proportion of variance explained by each PC
pca.pvar <- pca.var/sum(___)

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