Exploratory Multivariate Analysis by Example Using R

Francois Husson,Sebastien Le (Agrocampus Ouest, Rennes, France),Jerome Pages

Exploratory Multivariate Analysis by Example Using R
Format
Paperback
Publisher
Taylor & Francis Ltd
Country
United Kingdom
Published
30 September 2020
Pages
262
ISBN
9780367658021

Exploratory Multivariate Analysis by Example Using R

Francois Husson,Sebastien Le (Agrocampus Ouest, Rennes, France),Jerome Pages

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 the exploratory methods. The authors show how to use categorical variables in a PCA context in which variables are quantitative, how to handle more than two categorical variables in a CA context in which there are originally two variables, and how to add quantitative variables in an MCA context in which variables are categorical. They also illustrate the methods using examples from various fields, with related R code accessible in the FactoMineR package developed by the authors.

This item is not currently in-stock. It can be ordered online and is expected to ship in approx 2 weeks

Our stock data is updated periodically, and availability may change throughout the day for in-demand items. Please call the relevant shop for the most current stock information. Prices are subject to change without notice.

Sign in or become a Readings Member to add this title to a wishlist.