Exploratory Multivariate Analysis by Example Using R | Statistics

Product Description

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 hierarchical cluster analysis. The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. Within this framework they present the principles indicators and ways of representing and visualising objects that are common to t…