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:
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')) |
Bug tracker:https://github.com/bryanhanson/learnpca/issues
Last updated 6 months agofrom:fc8715733a. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win | OK | Nov 13 2024 |
R-4.5-linux | OK | Nov 13 2024 |
R-4.4-win | OK | Nov 13 2024 |
R-4.4-mac | OK | Nov 13 2024 |
R-4.3-win | OK | Nov 13 2024 |
R-4.3-mac | OK | Nov 13 2024 |
Exports:PCAtoXhatPCsearchXtoPCAtoXhat
Dependencies:base64encbslibcachemclassclicommonmarkcrayondigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitelaterlifecyclemagrittrmarkdownMASSmemoisemimennetpromisesR6rappdirsRcpprlangrpartsassshinysourcetoolswithrxfunxtable
A Guide to the LearnPCA Package
Rendered fromVig_01_Start_Here.Rmd
usingknitr::rmarkdown
on Nov 13 2024.Last update: 2024-04-26
Started: 2022-02-27
A Conceptual Introduction to PCA
Rendered fromVig_02_Conceptual_Intro_PCA.Rmd
usingknitr::rmarkdown
on Nov 13 2024.Last update: 2024-04-26
Started: 2022-02-27
Step-by-Step PCA
Rendered fromVig_03_Step_By_Step_PCA.Rmd
usingknitr::rmarkdown
on Nov 13 2024.Last update: 2024-04-26
Started: 2022-02-27
Understanding Scores and Loadings
Rendered fromVig_04_Scores_Loadings.Rmd
usingknitr::rmarkdown
on Nov 13 2024.Last update: 2024-04-26
Started: 2022-02-27
Visualizing PCA in 3D
Rendered fromVig_05_Visualizing_PCA_3D.Rmd
usingknitr::rmarkdown
on Nov 13 2024.Last update: 2024-04-26
Started: 2022-02-27
The Math Behind PCA
Rendered fromVig_06_Math_Behind_PCA.Rmd
usingknitr::rmarkdown
on Nov 13 2024.Last update: 2024-04-26
Started: 2022-02-27
A Comparison of Functions for PCA
Rendered fromVig_07_Functions_PCA.Rmd
usingknitr::rmarkdown
on Nov 13 2024.Last update: 2024-04-26
Started: 2022-02-27
Notes/FAQ/Special Cases
Rendered fromVig_08_Notes.Rmd
usingknitr::rmarkdown
on Nov 13 2024.Last update: 2024-04-26
Started: 2024-04-23