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LearnPCA (version 0.2.0)

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

Description

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.

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Version

Install

install.packages('LearnPCA')

Monthly Downloads

705

Version

0.2.0

License

GPL-3

Maintainer

Bryan Hanson

Last Published

May 2nd, 2022

Functions in LearnPCA (0.2.0)

PCsearch

Demonstrate the Search for New Principal Component Axes
PCAtoXhat

Use PCA Results to Reconstruct All or Part of the Original Data Set
XtoPCAtoXhat

Reduce a Matrix X via PCA and Reconstruct All or Part to Give Xhat
LearnPCA-package

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