SAS® Programming for R Users
SP4R : SP4R
This course is for experienced R users who want to apply their existing skills and extend them to the SAS environment. Emphasis is placed on programming and not statistical theory or interpretation. Students in this course should have knowledge of plotting, manipulating data, iterative processing, creating functions, applying functions, linear models, generalized linear models, mixed models, stepwise model selection, matrix algebra, and statistical simulations.
Learn How To
- read and write SAS programs
- import various forms of data
- subset and merge data tables
- do iterative processing and simulate new data
- create new variables and functions
- create and enhance plots of all types
- apply descriptive and inferential procedures including regression, logistic regression, analysis of variance, stepwise model selection, and mixed models
- conduct matrix algebra and statistical simulations in the interactive matrix language (IML)
- call R from SAS to use as a complementary resource.
Who Should Attend
Experienced R users who want to augment their programming skills with SAS
Prerequisites
Students should have knowledge of plotting, manipulating data, iterative processing, and creating and applying functions. They should also have knowledge of linear models, generalized linear models, mixed models, stepwise model selection, matrix algebra, and statistical simulations.
SAS Products Covered
SAS/IML;SAS/STAT;Base SAS
Course Outline
Introduction
- introduction
- SAS programming (self-study)
- accessing data in SAS libraries
- the DATA step and manual data entry
- importing data
- reporting the data
- enhanced reporting
- creating new variables
- creating and using functions
- subsetting and concatenating data tables
- DO loop and random number generation
- single-cell plotting
- multi-cell plotting
- CORR, FREQ, MEANS, and UNIVARIATE procedures
- Output Delivery System (ODS)
- creating macro variables
- creating macro programs
- linear models
- generalized linear models
- mixed models
- other procedures
- the basics (self-study)
- modules and subroutines
- calling SAS data sets and procedures
- simulations
- calling R from IML
- calling R from Base SAS Java API (self-study)
- calling R from SAS Enterprise Miner (self-study)
Live Class Schedule
Duration: 21 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
This course isn't publicly scheduled, but private training and mentoring may be available. Contact us to explore options.
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.