# R

## Reproducible Discrete-Event Simulation in R

https://pythonhealthdatascience.github.io/des_rap_book/

* How to design and implement discrete event simulation (DES) models in R.
* How to embed DES models inside a reproducible analytical pipeline (RAP).
* Relevant even if not interested in DES - broader principles - e.g.,
    * How to structure research as a package
    * Environment management
    * Linting
    * Continuous integration

## Testing in research

https://pythonhealthdatascience.github.io/stars-testing-intro/

* The basics of automated testing in R: what tests are, why they matter for reproducible research, and how they fit into your code development.
* How to write and run tests with testthat.