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Modern.Regression.Techniques.Using.R.A.Practical.Guide,.Daniel.B..Wright,.Kamala.London,.SAGE,..2009.pdf

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Modern.Regression.Techniques.Using.R.A.Practical.Guide,.Daniel.B..Wright,.Kamala.London,.SAGE,..2009.pdf

文档介绍

文档介绍:Modern Regression
Techniques Using R
Modern Regression
Techniques Using R
A Practical Guide for Students and Researchers
Daniel B. Wright and
Kamala London
© Daniel B. Wright and Kamala London 2009
First published 2009
Apart from any fair dealing for the purposes of research or private study, or criticism or review,
as permitted under the Copyright, Designs and Patents Act, 1988, this publication may
be reproduced, stored or transmitted in any form, or by any means, only with the prior
permission in writing of the publishers, or in the case of reprographic reproduction, in
accordance with the terms of licences issued by the Copyright Licensing Agency. Enquiries
concerning reproduction outside those terms should be sent to the publishers.
SAGE Publications Ltd
1 Oliver’s Yard
55 City Road
London EC1Y 1SP
SAGE Publications Inc.
2455 Teller Road
Thousand Oaks, California 91320
SAGE Publications India Pvt Ltd
B 1/I 1 Mohan Cooperative Industrial Area
Mathura Road
New Delhi 110 044
SAGE Publications Asia-Pacific Pte Ltd
33 Pekin Street #02-01
Far East Square
Singapore 048763
Library of Congress Control Number: 2008926086
British Library Cataloguing in Publication data
A catalogue record for this book is available from
the British Library
ISBN 978-1-84787-902-8
ISBN 978-1-84787-903-5 (pbk)
Typeset by CEPHA Imaging Pvt. Ltd., Bangalore, India
Printed in India at Replika Press Pvt Ltd
Printed on paper from sustainable resources
Contents
Preface vii
1 Very brief introduction to R 1
2 The basic regression 16
3 ANOVA as regression 29
4 ANCOVA: Lord’s paradox and mediation analysis 48
5 Model selection and shrinkage 65
6 Generalized linear models (GLMs) 92
7 Regression splines and generalized additive models (GAMs) 112
8 Multilevel models 138
9 Robust regression 162
10 Conclusion – make your data cool 185
Glossary of R functions used in this book 190
References 196
Index 202
Preface
In this book we introduce seve