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

0. Introduction

01 - Welcome

1. Introduction and Working in SAS

02 - Introduction to SAS and SAS Studio
03 - Demo - Working in SAS Studio
04 - Demo - Writing a program in SAS Studio
05 - Demo - Using tasks and snippets in SAS Studio
06 - Demo - Bayesian Logistic Regression
07 - Demo - Poker simulation
08 - Demo - Determining power using simulation
09 - Demo - Calling R from SAS
10 - SAS libraries and user-defined libraries
11 - SAS procedure syntax
12 - Getting programming help
13 - Demo - Navigating the online documentation

2. Importing and Reporting Data

14 - Creating datasets manually in the DATA step
15 - Demo - Creating and viewing the data table
16 - Importing raw data files
17 - Demo - Importing data
18 - Reporting data
19 - Enhanced reporting - Labels and formats
20 - The FORMAT statement
21 - Demo - Labels, formats, and informats

3. Creating New Variables, Functions, and Data Tables

22 - Creating new variables and conditional processing
23 - Conditionally creating variables with a DO group
24 - Using SAS functions
25 - Using SAS functions on character data
26 - Demo - SAS function documentation
27 - Creating functions for the DATA step
28 - Subsetting data
29 - Concatenating data sets
30 - Match-merging data sets

SAS Programming for R Users, Part 1

Authors

Jordan Bakerman

Course details

Skills covered

Concepts

0. Introduction

1. Introduction and Working in SAS

2. Importing and Reporting Data

3. Creating New Variables, Functions, and Data Tables

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