A Handbook of Statistical Analyses Using S-PLUS

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CRC Press, Dec 10, 2001 - Mathematics - 256 pages
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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

 

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Contents

An Introduction to SPLUS
1
The SPLUS GUI An Introduction
3
The SPLUS Command Language An Introduction
6
Vectors and Matrices
7
Other SPLUS Objects
8
An Example of an SPLUS Session
10
Exercises
18
Describing Data and Assessing Distributions Husbands and Wives
19
Estimating the Parameters in a Mixture Fitted to the Geyser Eruption Data
113
Exercises
121
Survival Analysis Motion Sickness and Bird Survival
123
Describing Survival Times and Coxs Regression
126
The Hazard Function
127
Analysis Using SPLUS
128
Bird Deaths
132
Exercises
136

Some Basic Summaries
22
Analysis Using SPLUS
23
Exercises
32
Analysis of Variance Poisoning Rats and Losing Weight
33
Analysis of Variance
35
Analysis Using SPLUS
37
Analysis of Variance of Survival Times of Rats
38
Analysis of Variance of Slimming Data
44
Exercises
50
Multiple Regression Technological Change in Jet Fighters
51
Multiple Regression Model
52
Exercises
64
Logistic Regression Psychiatric Caseness and Mortgage Default
65
Analysis Using SPLUS
70
Mortgage Default Data
79
Exercises
88
Analysing Longitudinal Data Beating the Blues
89
Analysis Using SPLUS
92
Random Effects Models for the Depression Data
96
Exercises
106
Nonlinear Regression and Maximum Likelihood Estimation Athletes and Geysers
107
Nonlinear Regression and Maximum Likelihood Estimation
108
Analysis Using SPLUS
110
Exploring Multivariate Data Male Egyptian Skulls
137
Analysis Using SPLUS
140
Exercises
154
Cluster Analysis Low Temperatures and Voting in Congress
155
Analysis Using SPLUS
158
Clustering Cities in the United States on the Basis of their YearRound Lowest Temperature
159
Classifying New Jersey Congresspeople on the Basis of their Voting Behaviour
165
Exercises
172
Bivariate Density Estimation and Discriminant Analysis Blood Fat Concentration
173
Analysis Using SPLUS
176
Discriminant Analysis
190
Exercises
200
The SPLUS Language
201
List Objects
206
Data Frames
208
Reading Data into SPLUS
210
SPLUS Functions
212
Graphics
221
Answers to Selected Exercises
225
References
233
Index
235
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Page 234 - Hastie, T. (2001). Estimating the number of clusters in a data set via the gap statistic.

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