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Programming with SAS/IML(R) Software

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...

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$3,000 USD GSA  $2,561.53
Course Code IMLP41
Available Formats Classroom
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.

Skills Gained

  • 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 Can Benefit

  • 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

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.

Course Details

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.