Supporting resources for System Dynamics Society (2023) and NATCOR (2024) workshops
There are five objectives of the initial workshop, which are to:
- Understand data frames and plot simulation data using ggplot2
- Analyse sensitivity runs (based on output from SD simulation tools) with dplyr
- Build a model using deSolve
- Run a sensitivity sweep with purrr, deSolve and dplyr
- Create interactive simulation app using Shiny and/or explore an SIR model with hospitalisations.
Objective five has been updated (for NATCOR) to include a more detailed exploration of an SIR and SIRH model.
The R code examples are in the directory R code
To run the code, it is recommended to setup an account on posit (posit.cloud (formerly known as RStudio Cloud)), and then use the option New Project from Git Repository, and enter https://github.com/JimDuggan/SDWorkshop.
Once the project is created, open the file install_packages.R in the setup folder, and click on the button called "Source", as this will run the file.
Any of the R files should then run ok.
For a detailed example of using R to explore system dynamics model for pandemic preparedness, see Jair Andrade's GitHub repository, which contains all the examples in the 2024 paper published in the System Dynamics Review.
Jair Andrade, Berend Beishuizen, Mart Stein, Máire Connolly and Jim Duggan. Preparing for pandemic response in the context of limited resources..