HerveAbdi/data4PCCAR: Some data sets and R-functions for PCA and CA to accompany Abdi & Beaton (to appear, 2023) Principal Component and Correspondence Analysis with R

data4PCCAR is a collection of data files and utilities that can be used for Principal Component Analysis and for Correspondence Analysis. These data files are used to illustrate the techniques described in the book of Abdi and Beaton: Abdi H., Beaton, D. (2023). Principal Component and Correspondence Analyses Using R. New York: Springer Verlag.

Getting started

Package details

AuthorHerve Abdi & Derek Beaton
MaintainerHerve Abdi <herve@utdallas.edu>
LicenseGPL-2
Version0.1.1
URL http://github.com/HerveAbdi/data4PCCAR
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("HerveAbdi/data4PCCAR")
HerveAbdi/data4PCCAR documentation built on Sept. 11, 2022, 4:19 p.m.