Multivariate Analysis with Matlab and R
Clear, concise, and organized, "Multivariate Analysis with MATLAB and R" provides a self-contained introduction to the field of multivariate analysis. Integrating practical computations, the book explains the fundamental theory behind basic multivariate analysis techniques. It illustrates different types of analysis with examples from various disciplines and demonstrates how results can be obtained via computer instructions. The book presents a software toolbox of multivariate techniques and makes both MATLAB[registered] and R datasets available on the web. Each chapter addresses a special topic, such as multivariate analysis with linear constraints, and offers related exercises.
- Hardback | 416 pages
- 156 x 235mm
- 30 Oct 2013
- Taylor & Francis Inc
- CRC Press Inc
- Bosa Roca, United States
- 50 black & white illustrations
Table of contents
Introduction. Matrix Algebra for Multivariate Analysis. Matlab Basics. S-Plus Basics. Principal Component Analysis. Factor Analysis. Canonical Correlation Analysis. Correspondence Analysis. Linearly Constrained Methods I: Redundancy Analysis and Canonical Correspondence Analysis. Principal Coordinate Analysis. Procrustes Analysis. Cluster Analysis. Discriminant Analysis. Multivariate Analysis of Variance.