Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA)
Functions, Data Sets and Vignettes to Aid in Learning Principal Compon...
Use PCA Results to Reconstruct All or Part of the Original Data Set
Demonstrate the Search for New Principal Component Axes
Reduce a Matrix X via PCA and Reconstruct All or Part to Give Xhat
Principal component analysis (PCA) is one of the most widely used data analysis techniques. This package provides a series of vignettes explaining PCA starting from basic concepts. The primary purpose is to serve as a self-study resource for anyone wishing to understand PCA better. A few convenience functions are provided as well.