Statistical Programming with SAS/IML Software

Chapter 3

Programming Techniques for Data Analysis

Contents

3.1   Overview of Programming Techniques

3.2   Reading and Writing Data

3.2.1   Creating Matrices from SAS Data Sets

3.2.2   Creating SAS Data Sets from Matrices

3.3   Frequently Used Techniques in Data Analysis

3.3.1   Applying a Variable Transformation

3.3.2   Locating Observations That Satisfy a Criterion

3.3.3   Assigning Values to Observations That Satisfy a Criterion

3.3.4   Handling Missing Values

3.3.5   Analyzing Observations by Categories

3.4   Defining SAS/IML Modules

3.4.1   Function and Subroutine Modules

3.4.2   Local Variables

3.4.3   Global Symbols

3.4.4   Passing Arguments by Reference

3.4.5   Evaluation of Arguments

3.4.6   Storing Modules

3.4.7   The IMLMLIB Library ...