Multivariate Analysis with Matlab and R
Jan Graffelman(Author)
CRC Press
1st Edition
Published on 26. November 2015
Book
Hardback
416 pages
978-1-58488-357-9 (ISBN)
Description
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 (R) and R datasets available on the web. Each chapter addresses a special topic, such as multivariate analysis with linear constraints, and offers related exercises.
More details
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional and scholarly
Professional
Illustrations
50 s/w Abbildungen
50 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-58488-357-9 (9781584883579)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Author
Universitat Politecnica de Catalunya, Barcelona, Spain
Series Editor
University of Bath, UK
University of British Columbia, Vancouver, Canada
Northwestern University, Evanston, Illinois, USA
Content
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.