An R and S-PLUS® Companion to Multivariate Analysis
Book information
Description
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. In this book the core multivariate methodology is covered along with some basic theory for each method described. The necessary R and S-PLUS code is given for each analysis in the book, with any differences between the two highlighted. A website with all the datasets and code used in the book can be found at http://biostatistics.iop.kcl.ac.uk/publications/everitt/. Graduate students, and advanced undergraduates on applied statistics courses, especially those in the social sciences, will find this book invaluable in their work, and it will also be useful to researchers outside of statistics who need to deal with the complexities of multivariate data in their work. Brian Everitt is Emeritus Professor of Statistics, King’s College, London.
Similar books
Person-Centered Methods: Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables
2014 · PDF
Sampling Methods: Exercises and Solutions
2006 · PDF
Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST)
2018 · PDF
Mixed-Effects Regression Models in Linguistics
2018 · PDF
Einfache lineare Regression: Die Grundlage für komplexe Regressionsmodelle verstehen
2018 · PDF
Excel 2016 for Social Work Statistics: A Guide to Solving Practical Problems
2017 · PDF
Heritage and Archaeology in the DigitalAge: Acquisition, Curation, and Dissemination of Spatial Cultural Heritage Data
2017 · PDF
Data Science and Social Research: Epistemology, Methods, Technology and Applications
2017 · PDF