This repository contains supplementary materials for a poster presented by GEM Programming Solutions Ltd. at PHUSE EU CONNECT 2021 (number PP12). Here you will find the SAS programs and R scripts which created the plots considered as well as high resolution versions of the outputs.
R and Python are words we hear being uttered more and more within the statistical programming community. But what are the important differences between SAS® and these open-source software packages when choosing how to visualise your data?
SAS® is the de facto software for the Pharmaceutical Industry. It provides a comprehensive validated framework with a user-friendly interface. There is, however, an increasing interest in open-source software, such as R, Python etc. Many Pharma organisations are now accelerating discussions around the use of open-source software packages. This poster will compare the use of SAS® versus open-source software focusing on the specific area of graphics capabilities.
A collection of lab boxplots and an annotated Kaplan-Meier curve will be generated using SAS® and R to compare ease of use, appearance, annotations, and animation. This poster will consider the pros and cons and explore the potential for an integrated implementation of SAS® and R.
Sophie Shapcott ([email protected]) and Jack Finch ([email protected])
If you have any questions or comments regarding anything to do with the poster or supplementary materials, please do not hesitate to contact us. We would love to hear your thoughts!
For your convenience, provided below are the links which will take you to the required programs or figures:
SAS Programs and Outputs
R Scripts and Outputs
We would like to thank the rest of the team at GEM (especially Mark Burke and Paul Frost) for their invaluable support and feedback throughout the creation of this poster.