| Description |
xvi, 312 pages : illustrations ; 26 cm |
| Contents |
Machine derived contents note: 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 |
| Bibliography |
Includes bibliographical references and indexes |
| SUBJECT |
S-Plus (Computer file)
|
|
S-Plus. http://id.loc.gov/authorities/names/n94051800
|
|
S-Plus. (Computer file)
|
| Subject |
S (Computer program language)
|
|
Regression analysis -- Data processing.
|
|
R (Computer program language)
|
| LC no. |
2002066787 |
| ISBN |
0761922806 paperback |
|
0761922792 cased |
|
