Advanced SAS Programming for R Users, Part 2

Learn how to apply your understanding of R—the language of big data—in the SAS environment at an advanced level.

Introduction

• Welcome

1. Interactive Matrix Language (IML)

• The basics of IML
• Similarities to R
• Additional techniques
• Demo: Working in Interactive mode in SAS Studio
• Demo: Basic matrix operations by example
• Modules: Functions and subroutines
• Random number generation in IML
• Demo: Simple linear regression from scratch
• Common IML modules
• Demo: Navigating the SAS/IML documentation
• Creating modules
• Storage techniques
• Demo: Creating functions and subroutines
• Pulling a SAS dataset into an IML matrix
• Creating or editing a SAS dataset with an IML matrix
• Demo: Calling SAS datasets from IML
• Calling SAS procedures from IML
• Demo: Submitting SAS procedures
• Syntax for simulations
• Demo: The Monty Hall simulation
• Simulation techniques in general
• Demo: Sampling distribution method 1, entirely in IML
• Demo: Sampling distribution method 2, iteratively calling SAS procedures from IML
• Demo: Sampling distribution method 3, intelligently calling SAS procedures with the BY statement

2. A Bridge between SAS and R

• Calling R from SAS in general
• Readying your machine to call R
• Moving code, data, and results between SAS and R
• Demo: Working with R from IML