This course teaches you how to use the IML procedure via the programming language. You will benefit from this course if you plan to use SAS/IML for manipulating matrices, simulating data, writing custom statistical analyses, or working with R. The programs in this course require SAS/IML 12.3 or later to run.

Learn how to

• create and manipulate matrices
• move data between IML matrices and SAS data sets
• simulate data
• write, store, and retrieve IML modules
• run SAS procedures from within IML
• interface with R from within IML.

Who should attend

SAS programmers, statisticians, econometricians, engineers, or others who wish to use matrix algebra, simulate data, write custom statistical analyses, or work with R from IML

Formats available	Standard Duration
Classroom:	3.0 days
Live Web Classroom:	6 half-day session(s)	System Requirements

Before attending this course, you should

• have completed the SAS Programming 1: Essentials course or understand the material within
• have completed the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course or understand the material within
• possess an understanding of elementary matrix algebra or linear algebra concepts and operations, including matrix dimensions, matrix addition and multiplication, matrix inversion, and scalars.

This course addresses SAS/IML, SAS/STAT software.

This course also addresses R software.

Fundamentals of IML

• creating and manipulating matrices
• assignment statements and operators
• accessing submatrices

Modules, Logic, and Data

• transferring data between matrices and data sets
• using IML modules
• loops and conditional logic

Program Development

• writing IML modules
• storage and memory
• efficiency and error handling
• calling SAS procedures from IML

Simulating Data

• random number generators
• Monte Carlo simulation

Working with R

• setting up SAS and R
• transferring data between SAS and R
• running R analyses from IML
• creating R graphics from IML