SAS Programming for R Users, Part 1

Course details

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 skill set 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.

Learning objectives
SAS University Edition
Working in SAS Studio
Using tasks and snippets in SAS Studio
Determining power using simulation
SAS procedure syntax
Creating datasets manually in the DATA step
Importing raw data files
Creating new variables and conditional processing
Match-merging data sets

Concepts

Introduction

Welcome

Introduction and Working in SAS

Introduction to SAS and SAS Studio
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

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

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