Programming with SAS/IML(R) Software

Course code: IMLP41

This course teaches you how to use the IML procedure via the programming language. You 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.

The self-study e-learning includes:

Annotatable course notes in PDF format.
Virtual lab time to practice.

1 080 EUR

1 307 EUR including VAT

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Starting date: Upon request

Type: E-learning

Course duration: 7 hours

Language: en

Price without VAT: 1 080 EUR

Starting date: Upon request

Type: Upon request

Course duration: 21 hours

Language: en

Price without VAT: 1 800 EUR

	Starting date	Type	Course duration	Language	Price without VAT
	Upon request	E-learning	7 hours	en	1 080 EUR	Register

	Upon request	Upon request	21 hours	en	1 800 EUR	Register
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Target group

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

Course structure

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.

Prerequisites

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.

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