Article published in:How to do Linguistics with R: Data exploration and statistical analysis
[Not in series 195] 2015
► pp. 367–386
Chapter 19. Exemplars, categories, prototypes
Simple and multiple correspondence analysis
This chapter introduces Correspondence Analysis. It is similar to PCA, but is designed for visualization and exploration of bivariate and multivariate categorical data. The first case study focuses on register variation of English Basic Colour Terms by using Simple Correspondence Analysis, which can be used for visualization of bivariate categorical data in two-dimensional contingency tables. In the second case study of German lexical categories Stuhl ‘chair’ and Sessel ‘armchair’, you will learn how to perform Multiple Correspondence Analysis with higher-dimensional tables.