An R and S-Plus Companion to Applied Regression - Hardcover

Fox, John

Hardcover

ISBN 10: 0761922792 ISBN 13: 9780761922797

Publisher: SAGE Publications, Inc, 2002

Synopsis

"This book fits right into a needed niche: rigorous enough to give full explanation of the power of the S language, yet accessible enough to assign to social science graduate students without fear of intimidation. It is a tremendous balance of applied statistical "firepower" and thoughtful explanation. It meets all of the important mechanical needs: each example is given in detail, code and data are freely available, and the nuances of models are given rather than just the bare essentials. It also meets some important theoretical needs: linear models, categorical data analysis, an introduction to applying GLMs, a discussion of model diagnostics, and useful instructions on writing customized functions. "

―JEFF GILL, University of Florida, Gainesville 

About this title

From the Inside Flap

"The text does an outstanding job of providing the necessary mechanics and theory of the S language. I will use this book in every such course that I teach from this point on." --JEFF GILL, University of Florida, Gainesville

"The book provides a valuable supplement to texts on regression analysis and linear models by showing readers how to put into practice the strategies and techniques involved in modern statistical methodology. It explains clearly the use of a very sophisticated and powerful statistical software system. And, while the examples and objectives are focused closely on regression and related techniques, the discussion successfully conveys general advice and principles for statistical computing with the S system." --WILLIAM JACOBY, University of South Carolina

"If you want to keep up with the latest developments in statistics, you need to use the computer language S. If you want to learn S, there isn?t a better way to get started than Fox?s An R and S-Plus Companion to Applied Regression." --J. SCOTT LONG, Indiana University

About the Author

John Fox received a BA from the City College of New York and a PhD from the University of Michigan, both in Sociology. He is Professor Emeritus of Sociology at McMaster University in Hamilton, Ontario, Canada, where he was previously the Senator William McMaster Professor of Social Statistics. Prior to coming to McMaster, he was Professor of Sociology, Professor of Mathematics and Statistics, and Coordinator of the Statistical Consulting Service at York University in Toronto. Professor Fox is the author of many articles and books on applied statistics, including \emph{Applied Regression Analysis and Generalized Linear Models, Third Edition} (Sage, 2016). He is an elected member of the R Foundation, an associate editor of the Journal of Statistical Software, a prior editor of R News and its successor the R Journal, and a prior editor of the Sage Quantitative Applications in the Social Sciences monograph series.

 

Edition details

• Publisher: SAGE Publications, Inc
• Publication date: 2002
• ISBN 10: 0761922792
• ISBN 13: 9780761922797
• Binding: Hardcover
• Language: English
• Edition number: 1
• Number of pages: 328