An R and S-Plus Companion to Applied Regression

From Book News, Inc.
R and S-PLUS are statistical-computing environments, incorporating implementations of the S programming language. This text teaches the use of R and S-PLUS in the context of applied regression analysis, for students in social sciences in a second course in applied statistics. Focus is on the command-line interface to R and S-PLUS, rather than the graphical user interface. Coverage encompasses reading and manipulating data, fitting linear models, drawing graphs, and writing programs. It is assumed that the student is familiar with or concurrently learning statistical methods. Fox teaches sociology at McMaster University, Canada.Copyright © 2004 Book News, Inc., Portland, OR


Review
"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."


Review
JHatzenbiler normal JHatzenbiler 2 0 2003-09-24T20:29:00Z 2003-09-24T20:29:00Z 1 76 436 sage 3 1 511 10.4219 MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman";} "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."


Book Description
"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 Features:Various facilities of S are introduced as needed within the context of detailed examples Cumulative examples: later examples often depend upon earlier ones, but examples in separate chapters are always independent of each other Asterisks note more demanding material that may be skipped without loss of continuity Boxes explain and highlight the many small differences between S-PLUS and R, and between S3 and S4, so that the reader can quickly locate the material that is relevant to their version of S or skip that information A companion Web site, featuring: instructions for downloading, installing, and using the Windows version of R; add-on packages; versions of the car (companion to applied regression) library that includes the software and data sets described in the book; an appendix for various extensions of regression analysis not covered in the text; and downloadable scripts for all of the examples in the text  "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 


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R and S-PLUS are statistical-computing environments, incorporating implementations of the S programming language. This text teaches the use of R and S-PLUS in the context of applied regression analysis, for students in social sciences in a second course in applied statistics. Focus is on the command-line interface to R and S-PLUS, rather than the graphical user interface. Coverage encompasses reading and manipulating data, fitting linear models, drawing graphs, and writing programs. It is assumed that the student is familiar with or concurrently learning statistical methods. Fox teaches sociology at McMaster University, Canada. Annotation c. Book News, Inc., Portland, OR (booknews.com)


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