1. Introduction 2. Data in S 3. Operators and Functions 4. Subsetting and Reshaping Data 5. Functions in S 6. Programming in S 7. Printing and Formatting 8. Graphics in S 9. Statistical Models 10. Random Sampling APPENDICES / A: Technical Report Writing / B. Technical Report Writing Checklist.
(source: Nielsen Book Data)
This guide's rich, concrete examples and step-by step approach make learning S easy and fun. The author, an internationally known S specialist, has been teaching and researching with S for many years. He focuses on data analysis and graphic data exploration and teaches by example the new philosophy of object-oriented analysis while training the student in the syntax and use of the language. The book is intended for graduate and upper-division undergraduate courses in statistics both for statisticians and for other disciplines where S or S-PLUS is used. (source: Nielsen Book Data)