├── .github
    └── workflows
    │   └── binder-badge.yml
├── README.md
└── environment.yml


/.github/workflows/binder-badge.yml:
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 1 | name: binder-badge
 2 | on:
 3 |   pull_request_target:
 4 | 
 5 | jobs:
 6 |   badge:
 7 |     runs-on: ubuntu-latest
 8 |     steps:
 9 |       - uses: manics/action-binderbadge@main
10 |         with:
11 |           githubToken: ${{ secrets.GITHUB_TOKEN }}
12 | 


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/README.md:
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 1 | # r-conda
 2 | 
 3 | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/betatim/r-conda/master?urlpath=rstudio)
 4 | 
 5 | > R and RStudio in repo2docker without waiting for packages to compile!
 6 | 
 7 | Jupyter+R: [![Binder](http://mybinder.org/badge_logo.svg)](http://mybinder.org/v2/gh/binder-examples/r-conda/master?filepath=index.ipynb)
 8 | 
 9 | RStudio: [![Binder](http://mybinder.org/badge_logo.svg)](http://mybinder.org/v2/gh/binder-examples/r-conda/master?urlpath=rstudio)
10 | 
11 | Binder supports using R and RStudio, with libraries pinned to a specific versions.
12 | 
13 | Install R itself and your required R packages via conda packages. Installing conda packages is faster than
14 | installing CRAN packages. This is because CRAN packages need compiling during the install process and conda
15 | packages do not.
16 | 
17 | For some R packages there is no corresponding conda-forge package yet, in that case take a look at https://github.com/binder-examples/r. Note that these two approaches cannot be combined, so you cannot install R packages via Conda and via an `install.R` file at the same time. You can check if a required R package is available on the Conda Forge website at https://conda-forge.org/feedstock-outputs/ by searching for `r-PACKAGENAME`. You can install R packges from other sources using a `postBuild` script.
18 | 
19 | Both [RStudio](https://www.rstudio.com/) and [IRKernel](https://irkernel.github.io/)
20 | are installed by default, so you can use either the Jupyter notebook interface or
21 | the RStudio interface.
22 | 


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/environment.yml:
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1 | channels:
2 |   - conda-forge
3 | dependencies:
4 |   - r-base=4.1.0
5 |   - r-tidyverse
6 |   
7 | 


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