Package: LearnPCA 0.3.4

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

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.

Authors:Bryan A. Hanson [aut, cre], David T. Harvey [aut]

LearnPCA_0.3.4.tar.gz
LearnPCA_0.3.4.zip(r-4.5)LearnPCA_0.3.4.zip(r-4.4)LearnPCA_0.3.4.zip(r-4.3)
LearnPCA_0.3.4.tgz(r-4.4-any)LearnPCA_0.3.4.tgz(r-4.3-any)
LearnPCA_0.3.4.tar.gz(r-4.5-noble)LearnPCA_0.3.4.tar.gz(r-4.4-noble)
LearnPCA_0.3.4.tgz(r-4.4-emscripten)LearnPCA_0.3.4.tgz(r-4.3-emscripten)
LearnPCA.pdf |LearnPCA.html
LearnPCA/json (API)
NEWS

# Install 'LearnPCA' in R:
install.packages('LearnPCA', repos = c('https://bryanhanson.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/bryanhanson/learnpca/issues

On CRAN:

6.20 score 10 stars 1 scripts 650 downloads 3 exports 36 dependencies

Last updated 6 months agofrom:fc8715733a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:PCAtoXhatPCsearchXtoPCAtoXhat

Dependencies:base64encbslibcachemclassclicommonmarkcrayondigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitelaterlifecyclemagrittrmarkdownMASSmemoisemimennetpromisesR6rappdirsRcpprlangrpartsassshinysourcetoolswithrxfunxtable

A Guide to the LearnPCA Package

Rendered fromVig_01_Start_Here.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-04-26
Started: 2022-02-27

A Conceptual Introduction to PCA

Rendered fromVig_02_Conceptual_Intro_PCA.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-04-26
Started: 2022-02-27

Step-by-Step PCA

Rendered fromVig_03_Step_By_Step_PCA.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-04-26
Started: 2022-02-27

Understanding Scores and Loadings

Rendered fromVig_04_Scores_Loadings.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-04-26
Started: 2022-02-27

Visualizing PCA in 3D

Rendered fromVig_05_Visualizing_PCA_3D.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-04-26
Started: 2022-02-27

The Math Behind PCA

Rendered fromVig_06_Math_Behind_PCA.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-04-26
Started: 2022-02-27

A Comparison of Functions for PCA

Rendered fromVig_07_Functions_PCA.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-04-26
Started: 2022-02-27

Notes/FAQ/Special Cases

Rendered fromVig_08_Notes.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-04-26
Started: 2024-04-23