A Handbook of Statistical Analyses Using S-PLUS

Description

Content: Cover Half Title Title Page Copyright Page Contents Preface Distributors for S-PLUS Dedication 1 An Introduction to S-PLUS 1.1 Introduction 1.2 Running S-PLUS 1.3 The S-PLUS GUI: An Introduction 1.4 The S-PLUS Command Language: 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 1.5 An Example of an S-PLUS Session Exercises 2 Describing Data and Assessing Distributions: Husbands and Wives 2.1 Introduction 2.2 Some Basic Summaries 2.3 Analysis Using S-PLUS 2.4 Exercises 3 Analysis of Variance: Poisoning Rats and Losing Weight3.1 Description of Data 3.2 Analysis of Variance 3.3 Analysis Using S-PLUS 3.3.1 Analysis of Variance of Survival Times of Rats 3.3 2 Analysis of Variance of Slimming Data Exercises 4 Multiple Regression: Technological Changes in Jet Fighters 4.1 Description of Data 4.2 Multiple Regression Model 4.3 Analysis Using S-PLUS Exercises 5 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 5.3.2 Mortgage Default DataExercises 6 Analysing Longitudinal Data: Beating the Blues 6.1 Description of Data 6.2 Analysing Longitudinal Data 6.3 Analysis Using S-PLUS 6.3.1 Summary Measure Analysis of the Depression Data 6.3.2 Random Effects Models for the Depression Data Exercises 7 Nonlinear Regression and Maximum Likelihood Estimation: Athletes and Geysers 7.1 Description of Data 7.2 Nonlinear Regression and Maximum Likelihood Estimation 7.3 Analysis Using S-PLUS 7.3.1 Modelling the Olympic 1500-m Times 7.3.2 Estimating the Parameters in a Mixture Fitted to the Geyser Eruption DataExercises 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 9 Exploring Multivariate Data: Male Egyptian Skulls 9.1 Description of Data 9.2 Exploring Multivariate Data 9.3 Analysis Using S-PLUS Exercises 10 Cluster Analysis: Low Temperatures and Voting in Congress 10.1 Description of Data 10.2 Cluster Analysis10.3 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 11 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 A1 Vectors and Matrices