Publisher description for An R and S-Plus companion to applied regression / John Fox.

Bibliographic record and links to related information available from the Library of Congress catalog

Information from electronic data provided by the publisher. May be incomplete or contain other coding.


"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
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

Library of Congress subject headings for this publication:
Regression analysis -- Data processing.
R (Computer program language)