A Handbook of Statistical Analyses Using S-PLUS SECOND EDITION

The second edition of this popular handbook has been fully updated to provide an outstanding introduction to the S-PLUS statistical software package for the entire spectrum of users, from students to applied statisticians. The author uses both the command language approach and the graphical user interface throughout the book and includes data sets from a variety of disciplines, such as medicine, finance, sports, and epidemiology. Exercises with suggested answers and clear engaging prose from a well-established author/statistician make the updated Handbook of Statistical Analyses Using S-Plus ideal both as a reference and for undergraduate and graduate courses in data analysis.

Since the first edition of this book was published, S-PLUS has evolved markedly with new methods of analysis, new graphical procedures,  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® 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

Preface An Introduction to S-PLUS Describing Data and Assessing Distributions: Husbands and Wives Analysis of Variance: Poisoning Rats and Losing Weight Multiple Regression: Technological change in Jet Fighters Logistic Regression: Psychiatric Caseness and Mortgage Default Analyzing Longitudinal: Beating the Blues Nonlinear Regression and Maximum Likelihood Estimation: Athletes and Geysers Survival Analysis: Motion Sickness and Bird Survival Exploring Multivariate Data: Male Egyptian Skulls Cluster Analysis: Low Temperatures and Voting in Congress Bivariate Density Estimation and Discriminant Analysis: Blood Fat Concentrations Appendix: The S-PLUS Language Answers to Selected Exercises References