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What is PCA Techniques and R Functions about?

1. There are several functions that can be used to perform principal component analysis (PCA) in R, including prcomp() and princomp() from the stats package, and PCA() from the FactoMineR package. 2. The factoextra package is useful for visualizing the results of PCA. It contains functions to calculate standard deviations, rotations, centers, and scales from PCA results. 3. An example analysis is shown using the decathlon2 data from the factoextra package. prcomp() is used to run PCA on active individua

Author

Rohan Kanungo

Language

EN