SAS Programming for R Users, Part 2

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Free Online Course: SAS Programming for R Users, Part 2 provided by LinkedIn Learning is a comprehensive online course, which lasts for 2-3 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. SAS Programming for R Users, Part 2 is taught by Jordan Bakerman.

Overview
  • Discover how to apply your understanding of R—the language of big data—in the SAS environment. To get the most from this course, make sure to watch part 1 of this series.

Syllabus
  • Introduction

    • Welcome
    1. Random Number Generation and Plotting
    • The DO loop
    • Random number generation
    • Demo: The DO loop and random number generation
    • Plotting with the SGPLOT procedure
    • Demo: Creating standard R plots
    • Enhancing the plot
    • Demo: Enhancing the plot
    • Multi-cell plotting procedures and statements
    • Demo: Multi-cell plotting
    2. Descriptive Procedures, Output Delivery System, and Macros
    • The CORR and FREQ procedures
    • The MEANS and UNIVARIATE procedures
    • Demo: Ames home sales data exploration
    • Selecting output to print and suppress
    • Demo: Selecting output with ODS TRACE or the online documentation
    • Saving results to new SAS data sets
    • Demo: Creating data tables with ODS
    • Creating global macro variables: Manually
    • Creating global macro variables: Automating the process
    • Demo: Creating and using macro variables
    • Macro programming
    • Creating macro programs with parameters
    • Creating macro programs with macro statements: A business example
    • Demo: A macro program to generate data, summary statistics, and plots
    • Demo: A macro program for iterative processing