This blog is a continuation of a previous blog that discussed creating simulated data sets. If you have not seen it, you might want to review it, especially if you are not familiar with the RAND function. The program that I'm going to show you simulates a drug study with
SAS' Cindy Wang uses SAS Visual Analytics to explore how people around the world spend their days.
If you are thinking that nobody in their right mind would implement a Calculator API Service with a machine learning model, then yes, you’re probably right. But considering curiosity is in my DNA, it sometimes works this way and machine learning is fun. I have challenged myself to do it,
Think about what a modern implementation of SAS looks like for a customer. Programmers rely on robust environments to run the models and programs that answer business questions. These environments can be different for platforms like SAS® 9 and SAS® Viya®. They can be deployed across distributed servers, either on
There are times when it is useful to simulate data. One of the reasons I use simulated data sets is to demonstrate statistical techniques such as multiple or logistic regression. By using SAS random functions and some DATA step logic, you can create variables that follow certain distributions or are