Advanced SAS Programming for R Users, Part 2

Course details

Advanced SAS Programming for R Users explores sophisticated techniques and concepts that can help you apply your understanding of R—the language of big data—in the SAS environment at an advanced level. In this course, Jordan Bakerman walks through several advanced SAS programming concepts. To begin, he covers the basics of the Interactive Matrix Language (IML), and discusses random number generation in IML, common IML modules, and how to pull a SAS dataset into an IML matrix. He then discusses how to call R from SAS, work with R from IML, and more. To get the most from this course, make sure to watch Advanced SAS Programming for R Users, Part 1. Note: You can visit the SAS site to obtain a copy of the software, and use the companys online data sets to do the course exercises.

Learning objectives
Interactive Matrix Language (IML)
Similarities to R
Working in Interactive mode in SAS Studio
Random number generation in IML
Creating modules
Calling R from SAS
Creating or editing a SAS dataset with an IML matrix
Moving code, data, and results between SAS and R

Concepts

0. Introduction

01 - Welcome

1. Interactive Matrix Language (IML)

02 - The basics of IML
03 - Similarities to R
04 - Additional techniques
05 - Demo - Working in Interactive mode in SAS Studio
06 - Demo - Basic matrix operations by example
07 - Modules - Functions and subroutines
08 - Random number generation in IML
09 - Demo - Simple linear regression from scratch
10 - Common IML modules
11 - Demo - Navigating the SAS IML documentation
12 - Creating modules
13 - Storage techniques
14 - Demo - Creating functions and subroutines
15 - Pulling a SAS dataset into an IML matrix
16 - Creating or editing a SAS dataset with an IML matrix
17 - Demo - Calling SAS datasets from IML
18 - Calling SAS procedures from IML
19 - Demo - Submitting SAS procedures
20 - Syntax for simulations
21 - Demo - The Monty Hall simulation
22 - Simulation techniques in general
23 - Demo - Sampling distribution method 1, entirely in IML
24 - Demo - Sampling distribution method 2, iteratively calling SAS procedures from IML
25 - Demo - Sampling distribution method 3, intelligently calling SAS procedures with the BY statement

2. A Bridge between SAS and R

26 - Calling R from SAS in general
27 - Readying your machine to call R
28 - Moving code, data, and results between SAS and R
29 - Demo - Working with R from IML

Advanced SAS Programming for R Users, Part 2

Authors

Jordan Bakerman

Course details

Skills covered

Concepts

0. Introduction

1. Interactive Matrix Language (IML)

2. A Bridge between SAS and R

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