login

Correspondence Analysis in<i>R</i>, with Two- and Three-dimensional Graphics: The<b>ca</b>Package

Journal of Statistical SoftwarePublished 1 January 2007Open access
Oleg Nenadic c, Michael Greenacre
Citations505
SJR quartileQ1
SJR score3.21
SNIP4.61
View PDF

TL;DR

An implementation of simple, multiple and joint correspondence analysis in R with special emphasis on the visualization functions that offer features such as different scaling options for biplots and three-dimensional maps using the rgl package.

Abstract

We describe an implementation of simple, multiple and joint correspondence analysis in R. The resulting package comprises two parts, one for simple correspondence analysis and one for multiple and joint correspondence analysis. Within each part, functions for computation, summaries and visualization in two and three dimensions are provided, including options to display supplementary points and perform subset analyses. Special emphasis has been put on the visualization functions that offer features such as different scaling options for biplots and three-dimensional maps using the rgl package. Graphical options include shading and sizing plot symbols for the points according to their contributions to the map and masses respectively.

Keywords

Agricultural and Biological Sciences