ABSTRACT

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R 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) and multiple corr

chapter 1|58 pages

Principal Component Analysis (PCA)

chapter 2|68 pages

Correspondence Analysis (CA)

chapter 3|42 pages

Multiple Correspondence Analysis (MCA)

chapter 4|36 pages

Clustering