ISBN-10:
0534923909
ISBN-13:
9780534923907
Pub. Date:
02/25/1991
Publisher:
Cengage Learning
SAS Applications Programming: A Gentle Introduction / Edition 1

SAS Applications Programming: A Gentle Introduction / Edition 1

by Frank C. DiIorio

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Overview

SAS Applications Programming: A Gentle Introduction / Edition 1

Intended for use as a core text or to supplement any introductory or intermediate level statistics course, this book presents the basics of the SAS system in a well-paced, structured, non-threatening manner. It provides an introduction to the SAS system for data management, analysis, and reporting using the subset of the language ideally suited for beginning students, while at the same time serving as a useful reference for intermediate or advanced users. Students learn the language's power and flexibility with many real-world examples drawn from the author's industry experience. Beginning with an overview of the system, this text shows students how to read data, perform simple analyses, and produce simple reports. More complex topics are carefully introduced, guiding students to manage multiple datasets and write custom reports. More advanced statistical techniques such as correlation, regression, and analysis of variance are presented in later chapters.

Product Details

ISBN-13: 9780534923907
Publisher: Cengage Learning
Publication date: 02/25/1991
Series: The Duxbury Series in Statistics and Decision Sciences
Edition description: New Edition
Pages: 688
Product dimensions: 8.50(w) x 10.96(h) x 1.01(d)

Table of Contents

1. Introduction 2. The SAS Environment: Terminology and Basics 3. Syntax Basics 4. Data Step I: Reading Your Data 5. Using the Dataset: Introduction to Procs 6. Descriptive Statistics 7. Data Step II: Calculations 8. Data Step III: Controlling the Flow of Execution 9. Data Step IV: Dressing Up and Trimming Down 10. SAS Datasets 11. The Data Step Revisited 12. Controlling the Environment: System Options 13. Combining SAS Datasets 14. User-Written Formats I: Display 15. User-Written Formats II: Recoding 16. Date Values 17. Creating Datasets with Procs 18. More About Character Data 19. Advanced Data Step Features 20. Custom Reports 21. Two-Variable Graphics 22. Bivariate Statistics 23. Linear Regression 24 Analysis of Variance 25. The Other 80% Appendixes. Selected Short Answers. Index.

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