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SAS Programming for R Users, Part 1

Offered By: LinkedIn Learning

Tags

Data Analysis Courses Data Manipulation Courses

Course Description

Overview

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

Syllabus

Introduction
  • Welcome
1. 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
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

Taught by

Jordan Bakerman

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