The main resources to learn drake are the user manual and the reference website. Others are below.
Thanks to Kirill for preparing a drake cheat sheet for the workshop.
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.
The reference section lists all the available functions. Here are the most important ones.
drake_plan(): create a workflow data frame (like my_plan).make(): build your project.loadd(): load one or more built targets into your R session.readd(): read and return a built target.drake_config(): create a master configuration list for other user-side functions.vis_drake_graph(): show an interactive visual network representation of your workflow.outdated(): see which targets will be built in the next make().deps(): check the dependencies of a command or function.failed(): list the targets that failed to build in the last make().diagnose(): return the full context of a build, including errors, warnings, and messages.Thanks to Kirill for constructing two interactive learnr tutorials: one supporting drake itself, and a prerequisite walkthrough of the cooking package.
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.
| 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 |
For context and history, please refer to the following.
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.