A Handbook of Statistical Analyses Using

Since the first edition of this book was published, S-PLUS has evolved markedly with new methods of analysis, new graphical procedures,Â and a convenient graphical user interface (GUI). Today, S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. Combining the command line language and GUI of S-PLUS now makes this book even more suitable for inexperienced users, students, and anyone without the time, patience, or background needed to wade through the many more advanced manuals and texts on the market.The second edition of A Handbook of Statistical Analyses Using S-Plus has been completely revised to provide an outstanding introduction to the latest version of this powerful software system. Each chapter focuses on a particular statistical technique, applies it to one or more data sets, and shows how to generate the proposed analyses and graphics using S-PLUS. The author explains S-PLUS functions from both the Windows Â® and command-line perspectives and clearly demonstrates how to switch between the two.This handbook provides the perfect vehicle for introducing the exciting possibilities S-PLUS, S-PLUS 2000, and S-PLUS 6 hold for data analysis. All of the data sets used in the text, along with script files giving the command language used in each chapter, are available for download from the Internet at http://www.iop.kcl.ac.uk/iop/Departments/BioComp/splus.shtml

Brian S. Everitt is a Professor at the Institute of Psychiatry, King's College, University of London, U.K.

Preface

ix

Distributors for S-PLUS

xi

An Introduction to S-PLUS

1

(18)

Introduction

1

(1)

Running S-PLUS

1

(2)

The S-PLUS GUI: An Introduction

3

(3)

The S-PLUS Command Language: An Introduction

6

(4)

Elementary Commands

6

(1)

Vectors and Matrices

7

(1)

Subsetting Matrices and Vectors

7

(1)

Other S-PLUS Objects

8

(2)

An Example of an S-PLUS Session

10

(9)

Exercises

18

(1)

Describing Data and Assessing Distributions: Husbands and Wives

19

(14)

Introduction

19

(3)

Some Basic Summaries

22

(1)

Analysis Using S-PLUS

23

(9)

Exercises

32

(1)

Analysis of Variance: Poisoning Rats and Losing Weight

33

(18)

Description of Data

33

(2)

Analysis of Variance

35

(2)

Analysis of Using S-PLUS

37

(14)

Analysis of Variance of Survival Times of Rats

38

(6)

Analysis of Variance of Slimming Data

44

(6)

Exercises

50

(1)

Multiple Regression: Technological Changes in Jet Fighters

51

(14)

Description of Data

51

(1)

Multiple Regression Model

52

(1)

Analysis Using S-PLUS

52

(13)

Exercises

64

(1)

Logistic Regression: Psychiatric Caseness and Mortgage Default

65

(24)

Description of Data

65

(1)

Logistic Regression and Generalised Linear Models

65

(5)

Analysis Using S-PLUS

70

(19)

GHQ Data

70

(9)

Mortgage Default Data

79

(9)

Exercises

88

(1)

Analysing Longitudinal Data: Beating the Blues

89

(18)

Description of Data

89

(1)

Analysing Longitudinal Data

89

(3)

Analysis Using S-PLUS

92

(15)

Summary Measure Analysis of the Depression Data

92

(4)

Random Effects Models for the Depression Data

96

(10)

Exercises

106

(1)

Nonlinear Regression and Maximum Likelihood Estimation: Athletes and Geysers

107

(16)

Description of Data

107

(1)

Nonlinear Regression and Maximum Likelihood Estimation

108

(2)

Analysis Using S-PLUS

110

(13)

Modelling the Olympic 1500-m Times

110

(3)

Estimating the Parameters in a Mixture Fitted to the Geyser Eruption Data

113

(8)

Exercises

121

(2)

Survival Analysis: Motion Sickness and Bird Survival

123

(14)

Description of Data

123

(3)

Describing Survival Times and Cox's Regression

126

(2)

The Survival Function

126

(1)

The Hazard Function

127

(1)

Analysis Using S-PLUS

128

(9)

Motion Sickness

128

(4)

Bird Deaths

132

(4)

Exercises

136

(1)

Exploring Multivariate Data: Male Egyptian Skulls

137

(18)

Description of Data

137

(1)

Exploring Multivariate Data

137

(3)

Analysis Using S-PLUS

140

(15)

Exercises

154

(1)

Cluster Analysis: Low Temperatures and Voting in Congress

155

(18)

Description of Data

155

(1)

Cluster Analysis

155

(3)

Analysis Using S-PLUS

158

(15)

Clustering Cities in the United States on the Basis of their Year-Round Lowest Temperature

159

(6)

Classifying New Jersey Congresspeople on the Basis of their Voting Behaviour

165

(7)

Exercises

172

(1)

Bivariate Density Estimation and Discriminant Analysis: Blood Fat Concentration

173

(28)

Description of Data

173

(1)

Bivariate Density Estimation and Discriminant Function Analysis

173

(3)

Analysis Using S-PLUS

176

(25)

Bivariate Density Estimation

176

(14)

Discriminant Analysis

190

(10)

Exercises

200

(1)

Appendix A The S-PLUS Language

201

(24)

A1 Vectors and Matrices

201

(5)

A2 List Objects

206

(2)

A3 Data Frames

208

(2)

A4 Reading-in Data into S-PLUS

210

(2)

A5 S-PLUS Functions

212

(9)

A6 Graphics

221

(1)

A7 User Functions

221

(4)

Appendix B Answers to Selected Exercises

225

(8)

References

233

(2)

Index

235

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

FREE SHIPPING

Amazon no longer offers textbook rentals. We do!

A Handbook of Statistical Analyses Using S-PLUS

Summary

Author Biography

Table of Contents

Supplemental Materials