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

Fox, John

Softcover

ISBN 10: 0761922806 ISBN 13: 9780761922803

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

Review

"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)

"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)

"The style of presentation is rather informal and hands-on, software usage is demonstrated using examples, without lengthy discussions of theory...it is not necessary to switch to a more theoretical text while reading it...In summary, I highly recommend the book to anyone who wants to learn or teach applied regression analysis with S." (Friedrich Leisch 2003-06-01)

"Together, John Fox's Applied Regression Analysis, Linear Models and Related Methods and the R and S-plus Companion to Applied Regression have made a fantastic contribution to the world of quantitative social science methology...For students and professors that have yet to discover the wonders of the S language, the Companion is a must read." (Ryan Baker The Political Methologist 2002-09-01)

"The book is written in a lively style with an occasional witticism interspresed. The writing is scholarly without being stilted...Baker (2002) has said it nicely addressing the combination of the Companion and the Fox (1997) statistical text. He observed that Fox '...has made a fantastic contribution to the world of quantitative social science methodology' (page 6). My assessment exactly." (Malcolm J. Ree Journal of Educational and Behavioral Sciences 2003-03-01)

"This book is laid out in a way that facilitates its use in three major applications...it is eminently practical...Overall, Fox has created a remarkably useful book, not only for learning the S language, but also for understanding applied regression techniques as well." (Paul Millar Canadian Journal of Sociology 2003-09-01)

"[The book] provides an excellent vehicle for students and others without previous experience with S in any form to become comfortable with the basics of the enviornment and particularly with the tools available for the preliminary exploratory analysis and for fitting and evaluating linear and generalized linear models...Fox makes thoughtful and effective efforts to prevent the frustration that new users of sophisticated software all to often experience." (Mary Kathryn Cowles The American Statistician 2003-09-01)

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: 0761922806
• ISBN 13: 9780761922803
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 328