author :Brian S. Eueritt

Contents
Preface 
Distributors for  S-PLUS
An Introduction to S-PLUS
1.1 Introduction
1.2 Running S-PLUS
1.3 The S-PLUS GUI: An Introduction
1.4.1 Elementary Commands
1.4.2 Vectors and Matrices
1.4.3 Subsetting Matrices and Vectors
1.4.4 Other S-PLUS Objects
1.4 The S-PLUS Command Language: An Introduction
1.5 An Example of an S-PLUS Session
Exercises
Describing Data and Assessing Distributions: Husbands
and Wives
2.1 Introduction
2.2 Some Basic Summaries
2.3 Analysis Using S-PLUS
Analysis of Variance: Poisoning Rats and Losing Weight
3.1 Description of Data
3.3 Analysis Using S-PLUS
Analysis of Variance of Survival Times of Rats
Analysis of Variance of Slimming Data
3.2 Analysis of Variance

4 Multiple Regression: Technological Changes in Jet
Fishters
4.1 Description of Data
4.2 Multiple Regression Model
Exercises
4.3 Analysis Using S-PLUS
Logistic Regression: Psychiatric Caseness and Mortgage
Default
5.1 Description of Data
5.2 Logistic Regression and Generalised Linear Models
5.3 Analysis Using S-PLUS
5.3.1 GHQ Data
Exercises
5.3.2 Mortgage Default Data
6 Analysing Longitudinal Data: Beating the Blues
6.3 Analysis Using S-PLUS
6.1
6.2
Description of Data
Analysing Longitudinal Data
6.3.1
6.3.2
Summary Measure Analysis of the Depression Data
Random Effects Models for the Depression Data
Exercises
7 Nonlinear Regression and Maximum Likelihood
7.1 Description of Data
7.2 Nonlinear Regression and Maximum Likehood Estimtion
7.3 Analysis Using S-PLUS
Estimation: Athletes and Geysers
7.3.1 Modelling the Olympic 1500-m Times
7.3.2 Estimating the Parameters in a Mixture Fitted to the
Geyser Eruption Data
Exercises
8 Survival Analysis: Motion Sickness and Bird Survival
8.1 Description of Data
8.2 Describing Survival Times and Cox’s Regression
8.2.1 The Survival Function
8.2.2 The Hazard Function
8.3 Analysis Using S-PLUS
8.3.1 Motion Sickness
8.3.2 Bird Deaths
Exercises

Exploring Multivariate Data: Male Egyptian Skulls
9.1 Description of Data
9.2 Exploring Multivariate Data
9.3 Analysis Using S-PLUS
Exercises
Cluster Analysis: Low Temperatures and Voting in
Congress
10.1 Description of Data
10.2 ClusterAnalysis
10.3 Analysis Using S-PLUS
10.3.1 Clustering Cities in the United States on the Basis of
their Year-Round Lowest Temperature
10.3.2 Classifying New Jersey Congresspeople on the Basis of
their Voting Behaviour
Exercises
Bivariate Density Estimation and Discriminant Analysis:
Blood Fat Concentration
11.1 Description of Data
11.2 Bivariate Density Estimation and Discriminant Function
Analysis
11.3 Analysis Using S-PLUS
11.3.1 Bivariate Density Estimation
11.3.2 Discriminant Analysis
Exercises
Appendix A The S-PLUS Language
Al Vectors and Matrices
A2 List Objects
A3 Data Frames
A4 Reading-in Data into S-PLUS
A5 S-PLUS Functions
A6 Graphics
A7 User Functions
Appendix B Answers to Selected Exercises
References