Will Landau


1 Learn about drake

The main resources to learn drake are the user manual and the reference website. Others are below.

1.1 Cheat sheet

Thanks to Kirill for preparing a drake cheat sheet for the workshop.

1.2 Frequently asked questions

The FAQ page is an index of links to appropriately-labeled issues on GitHub. To contribute, please submit a new issue and ask that it be labeled as a frequently asked question.

1.3 Function reference

The reference section lists all the available functions. Here are the most important ones.

1.4 Tutorials

Thanks to Kirill for constructing two interactive learnr tutorials: one supporting drake itself, and a prerequisite walkthrough of the cooking package.

1.5 Examples

Here are some real-world applications of drake in the wild.

There are also multiple drake-powered example projects available here, ranging from beginner-friendly stubs to demonstrations of high-performance computing. You can generate the files for a project with drake_example() (e.g. drake_example("gsp")), and you can list the available projects with drake_examples(). You can contribute your own example project with a fork and pull request.

1.6 Presentations

Author Venue Date Materials
Amanda Dobbyn R-Ladies NYC 2019-02-12 slides, source
Will Landau Harvard DataFest 2019-01-22 slides, source
Karthik Ram RStudio Conference 2019-01-18 video, slides, resources
Sina Rüeger Geneva R User Group 2018-10-04 slides, example code
Will Landau R in Pharma 2018-08-16 video, slides, source
Christine Stawitz R-Ladies Seattle 2018-06-25 materials
Kirill Müller Swiss Institute of Bioinformatics 2018-03-05 workshop, slides, source, exercises
Kirill Müller RStudio Conference 2018-02-01 slides, source

1.7 Context and history

For context and history, please refer to the following.

2 Acknowledgements

Special thanks to Jarad Niemi, my advisor from graduate school, for first introducing me to the idea of Makefiles for research. He originally set me down the path that led to drake.

Many thanks to Julia Lowndes, Ben Marwick, and Peter Slaughter for reviewing drake for rOpenSci, and to Maëlle Salmon for such active involvement as the editor. Thanks also to the following people for contributing early in development.