Join Jordan Bakerman for an in-depth discussion in this video Demo: Calling R from SAS, part of SAS Programming for R Users, Part 1.
- [Narrator] And in the final demonstration,…I want to show you how to easily work with R from SAS/IML.…So we're not telling you not to use R,…and in fact, if there's a nice library…that you like to use, or there's some code…that you want to use, it's actually extremely easy…to use it inside IML.…So we can export our data to R,…we can write R code directly in IML,…it'll send it over to R, it'll do all the analyses,…and then you can bring back the results…and compare your results if you'd like.…
So to do this seamlessly,…there's some really intuitive sub-routines…that we'll use, like export data set to R,…which does exactly what you'd expect, and then everything…between the submit and endsubmit statement is R code,…so that's going to be written exactly as if…you're in R Studio.…And in this case, I'm using the random forest library,…and the random forest function, and I'm actually analyzing…the birth weight data set from before,…when we did the Bayesian Logistic Regression analysis.…This time, I'm using R with the random forest,…
Note: You can visit the SAS site to obtain a copy of the software, and use the company's online data sets to do the course exercises.
- 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
Skill Level Beginner
Descriptive Healthcare Analytics in Rwith Monika Wahi4h 15m Advanced
1. Introduction and Working in SAS
2. Importing and Reporting Data
3. Creating New Variables, Functions, and Data Tables
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