Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) a

chapter 1|60 pages

Principal Component Analysis (PCA)

chapter 2|70 pages

Correspondence Analysis (CA)

chapter 3|42 pages

Multiple Correspondence Analysis (MCA)

chapter 4|36 pages


chapter 5|16 pages