PCsearch

<p>Shiny application to demonstrate the search for the 1st two principal components
for a randomly generated set of data.</p>

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.

Bryan Hanson

LearnPCA

Functions, Data Sets and Vignettes to Aid in Learning Principal
Components Analysis (PCA)

PCsearch: Demonstrate the Search for New Principal Component Axes

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