这是一本非常不错的入门级的S-PLUS教程。非常适合与初学者使用。主要的目录如下：
TABLE OF CONTENTS

PREFACE	ix
ACKNOWLEDGMENTS	xiii
PART I: INTRODUCTION AND STATISTICAL THEORY
1. Statistical Theory	1
2. Generating Random Numbers	7
3. Frequency Distributions	14
4. Stem and Leaf Plots	25
5. Population Distributions	32
6. Measures of Central Tendency	39
7. Measures of Dispersion	46
8. Sample Size Effects	53
9. Tchebysheff Inequality Theorem	59
10. Normal Bell-Shaped Curve	67
PART II: PROBABILITY AND PROBABILITY DISTRIBUTIONS
11. Probability	74
12. Joint Probability	84
13. Addition Law of Probability	90
14. Multiplication Law of Probability	95
15. Conditional Probability	100
16. Combinations and Permutations	107
PART III: MONTE CARLO AND STATISTICAL DISTRIBUTIONS
17. Binomial Distribution	115
18. Monte Carlo Simulation	124
19. Normal Distribution	133
20. t Distribution	140
21. Chi-square distribution	149
22. F Distribution	156
PART IV: SAMPLING AND INFERENCE
23. Sampling Distributions	165
24. Central Limit Theorem	172
25. Confidence Intervals	182
26. Hypothesis Testing	189
27. Type I Error	201
28. Type II Error	209

PART V: HYPOTHESIS TESTING IN RESEARCH
29. z test statistic for proportions	218
30. Chi-square test statistic	228
31. t Test for Mean Differences	236
32. Analysis of Variance	247
33. Correlation	260
34. Linear Regression	272
PART VI: REPLICABILITY OF FINDINGS
35. Cross Validation	283
36. Jackknife	290
37. Bootstrap	299
38. Meta-Analysis	307
39. Significance Testing vs. Practical Importance	322
GLOSSARY OF TERMS	330
ABOUT THE AUTHORS	341
APPENDIX	342
ANSWERS TO CHAPTER EXERCISES	351
AUTHOR INDEX	354
SUBJECT INDEX	355

顺便把书所附带的S-PLUS脚本文件也发上来。