Advanced SAS Programming for R Users

Topics include:
– Analyzing the data via inferential procedures
– Linear regression with PROC REG
– Scoring new data sets
– ANOVA and ANCOVA with the general linear model procedure
– Estimating linear combinations with the general linear model procedure
– Benefits of the GLMSELECT procedure
– Mixed models and the MIXED procedure

Advanced SAS Programming for R Users, Part 2
Advanced SAS Programming for R Users explores sophisticated techniques and concepts that can help you apply your understanding of R—the language of big data—in the SAS environment at an advanced level. In this course, Jordan Bakerman walks through several advanced SAS programming concepts. To begin, he covers the basics of the Interactive Matrix Language (IML), and discusses random number generation in IML, common IML modules, and how to pull a SAS dataset into an IML matrix. He then discusses how to call R from SAS, work with R from IML, and more. To get the most from this course, make sure to watch Advanced SAS Programming for R Users, Part 1.

Topics include:
– Interactive Matrix Language (IML)
– Similarities to R
– Working in Interactive mode in SAS Studio
– Random number generation in IML
– Creating modules
– Calling R from SAS
– Creating or editing a SAS dataset with an IML matrix
– Moving code, data, and results between SAS and R