CRAN/E | LearnPCA

LearnPCA

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

Installation

About

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.

bryanhanson.github.io/LearnPCA/
Bug report File report

Key Metrics

Version 0.3.4
Published 2024-04-26 1 day ago
Needs compilation? no
License GPL-3
CRAN checks LearnPCA results

Downloads

Yesterday 8 0%
Last 7 days 55 -32%
Last 30 days 256 -10%
Last 90 days 759 -20%
Last 365 days 3.105 -3%

Maintainer

Maintainer

Bryan A. Hanson

hanson@depauw.edu

Authors

Bryan A. Hanson

aut / cre

David T. Harvey

aut

Material

NEWS
Reference manual
Package source

In Views

ChemPhys

Vignettes

Vignette 01: A Guide to Learning PCA with LearnPCA (Start Here)
Vignette 02: A Conceptual Introduction to PCA
Vignette 03: Step-by-Step PCA
Vignette 04: Understanding Scores and Loadings
Vignette 05: Visualizing PCA in 3D
Vignette 06: The Math Behind PCA
Vignette 07: Functions for PCA
Vignette 08: Notes

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

LearnPCA archive

Depends

rpart
class
nnet

Imports

markdown
shiny
stats
graphics

Suggests

ChemoSpec
chemometrics
knitr
tinytest
roxut
rmarkdown
plot3D
ade4
plotrix
latex2exp
plotly
xtable
bookdown