This project's working branch is main
, and it has the following directory structure:
[REPOSITORY-Name]
├── LICENSE.md
├── README.md
├── data
│ ├── raw
│ └── processed
├── docs
│ └── support documentation, project descriptions, and images
└── src
└── all executbale script files
- Clone the project
git clone https://github.com/abroniewski/Longitudinal-Data-Analysis-Exercises.git
- Setup SAS account. This project used SAS OnDemand for Academics with a free student license.
- In SAS Studio, setup directory structure as shown below. Upload files from
data/raw
andsrc
from repository into SAS.
- Run the programs in SAS Studio
The goal of this project is to share learning from the Longitudinal Data Analysis course at Technical University Eindhoven (TU/e). The exercises completed follow the 2022 Q1 course offering. Some SAS programs will include more than what the exercises call for to support SAS exploration. Comments are included to help understand SAS specific requirements as well as theoretical application of variance analysis
This project is open source software licensed as MIT.