SAS Applications Programming: A Gentle Introduction

DiIorio, Frank C

ISBN 10: 0534984649 / ISBN 13: 9780534984649

Published by PWS-Kent Publishing Co, US, 1991

About this Item

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Seller Inventory # ERICA82905349846493

Bibliographic Details

• Title: SAS Applications Programming: A Gentle Introduction
• Publisher: PWS-Kent Publishing Co, US
• Publication Date: 1991
• Language: English
• ISBN 10: 0534984649
• ISBN 13: 9780534984649
• Binding: paperback
• Condition: Good
• Dust Jacket Condition: Dust Jacket Included
• Book Type: book

About this title

Synopsis

SAS Applications Programming: A Gentle Introduction by Frank C. Dilorio presents the basics of the SAS System in a well-paced, structured, and nonthreatening manner for the beginning or intermediate user. Numerous practical and real-world examples are drawn from the autor's fifteen years of experience using SAS.



System- and version-independent, SAS Applications Programming gives the reader the flexibility to utilize any recent version of this popular statistical software package. Complex topics are introduced at a reasonable rate, gradually bringing readers to the point where they can manage multiple datasets, read complex raw data, perform complex calculations quickly and effectively, and write custom reports.



Anyone who needs to learn or expand his or her knowledge of the SAS software package should read SAS Applications Programming.

Review

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.