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SAS Applications Programming A Gentle Introduction

ISBN-10: 0534923909
ISBN-13: 9780534923907
Edition: 1991
Authors: Frank C. DiIorio
List price: $225.95 Buy it from $3.94 Rent it from $93.92
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Description: 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  More...

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Book details

List price: $225.95
Copyright year: 1991
Publisher: Brooks/Cole
Publication date: 2/25/1991
Binding: Hardcover
Pages: 684
Size: 8.50" wide x 11.00" long x 1.00" tall
Weight: 3.432
Language: English

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.

Introduction
The SAS Environment: Terminology and Basics
Syntax Basics
Data Step I: Reading Your Data
Using the Dataset: Introduction to Procs
Descriptive Statistics
Data Step II: Calculations
Data Step III: Controlling the Flow of Execution
Data Step IV: Dressing Up and Trimming Down
SAS Datasets
The Data Step Revisited
Controlling the Environment: System Options
Combining SAS Datasets
User-Written Formats I: Display
User-Written Formats II: Recoding
Date Values
Creating Datasets with Procs
More About Character Data
Advanced Data Step Features
Custom Reports
Two-Variable Graphics
Bivariate Statistics
Linear Regression 24 Analysis of Variance
The Other 80% Appendixes
Selected Short Answers
Index

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