John D. Fox - An R Companion to Applied Regression
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Third Edition
To the memory of my parents, Joseph and Diana
J. F.
For my teachers, and especially Fred Mosteller, who I think would have liked this book
S. W.
Third Edition
- John Fox
- McMaster University
- Sanford Weisberg
- University of Minnesota
- Los Angeles
- London
- New Delhi
- Singapore
- Washington DC
- Melbourne
Copyright 2019 by SAGE Publications, Inc.
All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher.
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ISBN: 978-1-5443-3647-3
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This book is printed on acid-free paper.
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Sara Miller McCune founded SAGE Publishing in 1965 to support the dissemination of usable knowledge and educate a global community. SAGE publishes more than 1000 journals and over 800 new books each year, spanning a wide range of subject areas. Our growing selection of library products includes archives, data, case studies and video. SAGE remains majority owned by our founder and after her lifetime will become owned by a charitable trust that secures the companys continued independence.
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This book aims to provide an introduction to the R statistical computing environment (R Core Team, 2018) in the context of applied regression analysis, which is typically studied by social scientists and others in a second course in applied statistics. We assume that the reader is learning or is otherwise familiar with the statistical methods that we describe; thus, this book is a companionto a text or course on modern applied regression, such as, but not necessarily, our own Applied Regression Analysis and Generalized Linear Models, third edition (Fox, 2016) and Applied Linear Regression, fourth edition (Weisberg, 2014).
Of course, different texts and courses have somewhat different content, and different readers will have different needs and interests: If you encounter a topic that is unfamiliar or that is not of interest, feel free to skip it or to pass over it lightly. With a caveat concerning the continuity of examples within chapters, the book is designed to let you skip around and study only the sections you need, providing a reference to which you can turn when you encounter an unfamiliar subject.
The R Companion
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