Package: ca 0.71.1

Oleg Nenadic

ca: Simple, Multiple and Joint Correspondence Analysis

Computation and visualization of simple, multiple and joint correspondence analysis.

Authors:Michael Greenacre [aut], Oleg Nenadic [aut, cre], Michael Friendly [ctb]

# Install 'ca' in R:

install.packages('ca', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

author - Author dataset
smoke - Smoke dataset
wg93 - International Social Survey Program on Environment 1993 - western German sample

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 5 years agofrom:00cc046a4c. Checks:OK: 1 NOTE: 1. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 31 2024
R-4.5-linux	NOTE	Oct 31 2024

Dependencies:

Help page	Topics
Author dataset	author
Simple correspondence analysis	ca ca.data.frame ca.default ca.formula ca.matrix ca.table ca.xtabs
Converting data types in CA and MCA	caconv
Extracting coordinates from ca and mjca objects.	cacoord
Updating a Burt matrix in Joint Correspondence Analysis	iterate.mjca
Multiple and joint correspondence analysis	mjca mjca.array mjca.data.frame mjca.default mjca.table
Draw lines for groups distinguished by a factor	multilines
Listing the set of available symbols.	pchlist
Plotting 2D maps in correspondence analysis	plot.ca
Plotting 2D maps in multiple and joint correspondence analysis	plot.mjca
Plotting 3D maps in correspondence analysis	plot3d.ca
Printing ca objects	print.ca
Printing mjca objects	print.mjca
Printing summeries of ca objects	print.summary.ca
Printing summeries of mjca objects	print.summary.mjca
Smoke dataset	smoke
Summarizing simple correspondence analysis	summary.ca
Summarizing multiple and joint correspondence analysis	summary.mjca
International Social Survey Program on Environment 1993 - western German sample	wg93