An R and S-Plus® Companion to Multivariate Analysis

1. Auflage 2005. Corr. 2. printing. Softcover version of original hardcover Auflage 2005
ISBN: 978-1-84996-944-4
Verlag: Springer

Buch, Englisch, 221 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 365 g

Reihe: Springer Texts in Statistics

Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of one or other of the many methods of multivariate analysis, and the use of a suitable software package such as S-PLUS or R. This book, written by a successful author in the field, covers the core multivariate methodology along with some basic theory for each method described. It provides the necessary R and S-PLUS code for each analysis, with any differences between the two highlighted.

Zielgruppe

Research

Autoren/Hrsg.

Everitt, Brian S.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung

Inhaltsverzeichnis

Multivariate Data and Multivariate Analysis.- Looking at Multivariate Data.- Principal Components Analysis.- Exploratory Factor Analysis.- Multidimensional Scaling and Correspondence Analysis.- Cluster Analysis.- Grouped Multivariate Data: Multivariate Analysis of Variance and Discriminant Function Analysis.- Multiple Regression and Canonical Correlation.- Analysis of Repeated Measures Data.

Über Autor(innen)

Brian Everitt is Emeritus Professor of Statistics, King’s College, London