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) and
multiple correspondence analysis (MCA) when variables are
categorical, and... more...