Article published in:How to do Linguistics with R: Data exploration and statistical analysis
[Not in series 195] 2015
► pp. 351–366
Chapter 18. Multidimensional analysis of register variation
Principal Components Analysis and Factor Analysis
In this chapter you will learn about Principal Components Analysis and Factor Analysis. The aim of these methods is to reduce a large number of correlated quantitative variables to a small set of underlying dimensions. You will learn how to use these methods to perform corpus-based multidimensional analysis of register variation.