SAS Programming for R Users

Topics include:
– 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

SAS Programming for R Users, Part 2
SAS Programming for R Users explores how you can apply your understanding of R—the language of big data—in the SAS environment. In this course, Jordan Bakerman walks through essential SAS programming concepts. To begin, he discusses random number generation and plotting, including how to create standard R plots and enhance the plot. He then dives into a discussion of descriptive procedures, Output Delivery System (ODS), and macros, sharing how to create data tables with ODS, create macro programs with macro statements, and more. To get the most from this course, make sure to watch SAS Programming for R Users, Part 1.

Topics include:
– Random number generation
– Plotting with the SGPLOT procedure
– Enhancing the plot
– CORR, FREQ, and MEANS procedures
– Selecting output to print and suppress
– Manually creating global macro variables
– Creating macro programs with parameters and macro statements