https://github.com/strazto/mandrake

📖🐉- Bring reading the manual 📖 closer to your drake 🐉 workflow 🔥
https://github.com/strazto/mandrake

data-science drake high-performance-computing makefile pipeline r r-package reproducibility reproducible-research rstats workflow

Last synced: 3 months ago
JSON representation

📖🐉- Bring reading the manual 📖 closer to your drake 🐉 workflow 🔥

• Host: GitHub
• URL: https://github.com/strazto/mandrake
• Owner: strazto
• Created: 2020-07-24T14:48:53.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-04-22T06:45:14.000Z (over 3 years ago)
• Last Synced: 2024-04-10T06:11:42.055Z (7 months ago)
• Topics: data-science, drake, high-performance-computing, makefile, pipeline, r, r-package, reproducibility, reproducible-research, rstats, workflow
• Language: R
• Homepage: https://straz.to/mandrake/
• Size: 978 KB
• Stars: 12
• Watchers: 1
• Forks: 0
• Open Issues: 9
• Metadata Files:
  • Readme: README.Rmd

Awesome Lists containing this project

README

        
---

output: github_document

---

# mandrake

`{mandrake}` is an R package that aims to bridge the gap between:

* the **man**ual & the [`{drake}`](https://github.com/ropensci/drake) workflow

* your `code`'s ⌨️  documentation & your data's 📈 documentation. 

`{mandrake}` extends the communication tools provided by `{drake}` & supercharges them to connect directly with

your workflows at both an eagle-eye view, & in intimate detail.

`{mandrake}` also extends [`{roxygen2}`](https://github.com/r-lib/roxygen2/) to allow you to use the standard `{roxygen2}` documentation workflow to document

your datasets in the same place that you create them, as well as the tools to inherit this dataset documentation around

packages with minimal effort.

## Demonstration





Click for a higher res demo




See `vignette("mandrake")` for an interactive demo [[link]](https://mstrasiot.to/mandrake/articles/mandrake.html).