Cookiecutter template for research projects in R on the Popper workflow execution engine.
The goal is to provide a structure for developing reproducible projects in computational research (machine learning, statistics, bioinformatics, ...) following best practices in a container-native environment.
Resource:
- A guide for developing R workflows for computational research with Popper is available in the Popper documentation.
- An example project following this structure is available at popper-examples.
- Python >= 3.5
- Cookiecutter >= 1.1
Additionally, to run the generated project:
- Popper
- Docker
Run
cookiecutter gh:getpopper/cookiecutter-popper-r