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LearnPCA  

Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA)
View on CRAN: Click here


Download and install LearnPCA package within the R console
Install from CRAN:
install.packages("LearnPCA")

Install from Github:
library("remotes")
install_github("cran/LearnPCA")

Install by package version:
library("remotes")
install_version("LearnPCA", "0.3.4")



Attach the package and use:
library("LearnPCA")
Maintained by
Bryan A. Hanson
[Scholar Profile | Author Map]
First Published: 2022-02-03
Latest Update: 2022-05-02
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.
How to cite:
Bryan A. Hanson (2022). LearnPCA: Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA). R package version 0.3.4, https://cran.r-project.org/web/packages/LearnPCA. Accessed 29 Apr. 2025.
Previous versions and publish date:
0.1.1 (2022-02-03 10:20), 0.1.3 (2022-03-12 01:30), 0.1.4 (2022-03-31 19:00), 0.2.0 (2022-05-02 04:30)
Other packages that cited LearnPCA R package
View LearnPCA citation profile
Other R packages that LearnPCA depends, imports, suggests or enhances
Complete documentation for LearnPCA
Functions, R codes and Examples using the LearnPCA R package
Some associated functions: LearnPCA-package . PCAtoXhat . PCsearch . XtoPCAtoXhat . 
Some associated R codes: LearnPCA-package.R . PCAtoXhat.R . PCsearch.R . XtoPCAtoXhat.R . affine_transformations.R . check_npnp.R . define_new_axes.R . demo_PC_search.R . generate_2D_ellipse.R . project_data_onto_axes.R .  Full LearnPCA package functions and examples
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