Thankfully, there are many resources available to aspiring SAS to R programmers or those looking to add R to their analytical toolbox. Teams looking to take advantage of these capabilities may require statistical programmers to become proficient in open-source programming languages like R. Moreover, R is widely used in university settings and is often the first choice for many recent graduates. Many pharmaceutical organizations are now using open source for drug development, and banks are using open source for machine learning and AI. However, open source offers innovative reporting and automation options and opens the door to powerful tools like Shiny.
SAS has been used for years and is part of the legacy software stack for many organizations. SAS and R are popular programming languages used for statistical analysis.
