SAS Programming for R Users, Part 1

Discover how to apply your understanding of R—the language of big data—in the SAS environment.

SAS is a hugely popular data analytics platform with millions of users. R is the language of big data. In this course, enhance your programming skillset by learning how to apply your understanding of R in the SAS environment. Instructor Jordan Bakerman kicks off the course with an introduction to SAS and SAS Studio. He covers several essential concepts, including how to write a program in SAS Studio, use tasks and snippets, and call R from SAS. He also walks through importing and reporting data, and creating new variables, functions, and data tables.

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.

Introduction

• Welcome

1. Introduction and Working in SAS

• Introduction to SAS and SAS Studio
• SAS University Edition
• Demo: Working in SAS Studio
• Demo: Writing a program in SAS Studio
• Demo: Using tasks and snippets in SAS Studio
• Demo: Bayesian Logistic Regression
• Demo: Poker simulation
• Demo: Determining power using simulation
• Demo: Calling R from SAS
• SAS libraries and user-defined libraries
• SAS procedure syntax
• Getting programming help
• Demo: Navigating the online documentation

2. Importing and Reporting Data

• Creating datasets manually in the DATA step
• Demo: Creating and viewing the data table
• Importing raw data files
• Demo: Importing data
• Reporting data
• Enhanced reporting: Labels and formats
• The FORMAT statement
• Demo: Labels, formats, and informats

3. Creating New Variables, Functions, and Data Tables

• Creating new variables and conditional processing
• Conditionally creating variables with a DO group
• Using SAS functions
• Using SAS functions on character data
• Demo: SAS function documentation
• Creating functions for the DATA step
• Subsetting data
• Concatenating data sets
• Match-merging data sets