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An R and S-Plus Companion to Applied Regression

Autor John Fox
en Limba Engleză Hardback – 30 iul 2002
`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
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Specificații

ISBN-13: 9780761922797
ISBN-10: 0761922792
Pagini: 328
Dimensiuni: 178 x 254 mm
Greutate: 0 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States

Recenzii

"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."
"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."
"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."
"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."
"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."
"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."
"[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."

Cuprins

Preface
1. Introducing R and S-PLUS
S Basics
An Extended Illustration
S Functions for Basic Statistics
2. Reading and Manipulating Data
Data Input
Working with Data Frames
Matrices, Arrays, and Lists
Data Attributes, Modes, and Classes
3. Exploring and Transforming Data
Examining Distributions
Examining Relationships
Examining Multivariate Data
Transforming Data
4. Fitting Linear Models
Linear Least-Squares Regression
Dummy-Variable Regression
Analysis of Variance Models
User-Specified Contrasts*
General Linear Hypotheses*
Data and Confidence Ellipses
More on 1m and Model Formulas
5. Fitting Generalized Linear Models
The Structure of GLMs
Models for Categorical Responses
Poisson GLMs for Count Data
Odds and Ends
Fitting GLMs by Iterated Weighted Least-Squares*
6. Diagnosing Problems
Unusual Data
Non-Normal Errors
Non-Constant Error Variance
Nonlinearity
Collinearity and Variable Selection
Diagnostics for Generalized Linear Models
7. Drawing Graphs
A General Approach to S Graphics
Putting it Together
Effect Displays
Graphics Devices
8. Writing Programs
Defining Functions
Working With Matrices*
Program Control: Conditionals, Loops, and Recursion
Apply and its Relatives
Object-Oriented Programming in S*
Writing S Programs

Descriere

`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 this book' - J Scott Long, Indiana University