Li Handbook of SAS® DATA Step Programming

Erscheinungsjahr 2013
ISBN: 978-1-4665-5239-5
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 275 Seiten

To write an accomplished program in the DATA step of SAS®, programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS® DATA Step Programming shows readers how best to manage and manipulate data by using the DATA step.

The book helps novices avoid common mistakes resulting from a lack of understanding fundamental and unique SAS programming concepts. It explains that learning syntax does not solve all problems; rather, a thorough comprehension of SAS processing is needed for successful programming. The author also guides readers through a programming task. In most of the examples, the author first presents strategies and steps for solving the problem, then offers a solution, and finally gives a more detailed explanation of the solution.

Understanding the DATA steps, particularly the program data vector (PDV), is critical to proper data manipulation and management in SAS. This book helps SAS programmers thoroughly grasp the concept of DATA step processing and write accurate programs in the DATA step. Numerous supporting materials, including data sets and programs used in the text, are available on the book’s CRC Press web page.

Autoren/Hrsg.

Li, Arthur

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software

Inhaltsverzeichnis

Introduction to SAS
SAS Program and Language
Reading DATA into SAS

Creating and Modifying Variables
Base SAS Procedures

Subsetting Data by Selecting Variables

Changing the Appearance of Data
Creating Variables Conditionally

The IF-THEN/ELSE Statement

Executing One of Several Statements

Modifying the IF-THEN/ELSE Statement with the Assignment Statement
Understanding How the DATA Step Works

DATA Step Processing Overview

Retaining the Value of Newly Created Variables

Conditional Processing in the DATA Step

Debugging Techniques
BY-Group Processing in the DATA Step

Introduction to BY-Group Processing

Applications Utilizing BY-Group Processing

Writing Loops in the DATA Step

Implicit and Explicit Loops
Utilizing Loops to Create Samples

Using Looping to Read a List of External Files
Array Processing

Introduction to Array Processing
Functions and Operators Related to Array Processing

Some Array Applications

Applications That Use Multi-Dimensional Arrays

Combining Data Sets

Vertically Combining Data Sets

Horizontally Combining Data Sets

Data Input and Output

Introduction to Reading and Writing Text Files
Reading Text Files

Creating Text Files

Data Step Functions

Introduction to Functions and CALL Routines

Date and Time Functions
Character Variables

Functions for Converting Variable Types
Useful SAS Procedures

Using the SORT Procedure to Eliminate Duplicate Observations

Using the COMPARE Procedure to Compare the Contents of Two Data Sets

Restructuring Data Sets Using the TRANSPOSE Procedure

Creating the User-Defined Format Using the FORMAT Procedure
Using the OPTIONS Procedure to Modify SAS System Options
References
Exercises appear at the end of each chapter.

Über Autor(innen)

Arthur Li is a biostatistician at the City of Hope National Medical Center in Los Angeles County, California. He is also a part-time statistical programming instructor at the University of Southern California, where he received an MS in biostatistics. He often gives presentations and seminars on DATA step programming and statistical analysis using SAS software at SAS conferences.