An R and S-Plus companion to applied regression

書誌事項

An R and S-Plus companion to applied regression

John Fox

Sage, c2002

  • : hc
  • : pbk

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注記

Includes bibliographical references (p. 295-298) and indexes

内容説明・目次

内容説明

`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

目次

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

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