Those contribution guidelines are adapted from the github documentation
Thank you for investing your time in contributing to our project! ✨.
Read our Code of Conduct to keep our community approachable and respectable.
In this guide you will get an overview of the contribution workflow from opening an issue, creating a PR, reviewing, and merging the PR. But also information about the organisation of the project, the tests and documentation needed for each contribution.
To get an overview of the project, read the README. Here are some resources to help you get started with open source contributions:
- Finding ways to contribute to open source on GitHub
- Set up Git
- GitHub flow
- Collaborating with pull requests
Check to see what types of contributions we accept before making changes. Some of them don't even require writing a single line of code ✨.
If you spot a problem with the package, search if an issue already exists. If a related issue doesn't exist, you can open a new issue.
Scan through our existing issues to find one that interests you. You can narrow down the search using labels
as filters. As a general rule, we don’t assign issues to anyone. If you find an issue to work on, you are welcome to open a PR with a fix.
Click Make a contribution at the bottom of any docs page to make small changes such as a typo, sentence fix, or a broken link. This takes you to the file where you can make your changes and create a pull request for a review.
For more information about using a codespace for working on GitHub documentation, see "Working in a codespace."
- Fork the repository. Fork the repo so that you can make your changes without affecting the original project until you're ready to merge them.
- Create a working branch and start with your changes!
Use a
branch name
adapted (can be the name of the issue:issue-30_FixHistogram
)git checkout -b branch_name
Commit the changes once you are happy with them.
When you're finished with the changes, create a pull request, also known as a PR.
- Fill the "Ready for review" template so that we can review your PR. This template helps reviewers understand your changes as well as the purpose of your pull request.
- Don't forget to link PR to issue if you are solving one.
- Enable the checkbox to allow maintainer edits so the branch can be updated for a merge. Once you submit your PR, a team member will review your proposal. We may ask questions or request additional information.
- We may ask for changes to be made before a PR can be merged, either using suggested changes or pull request comments. You can apply suggested changes directly through the UI. You can make any other changes in your fork, then commit them to your branch.
- As you update your PR and apply changes, mark each conversation as resolved.
- If you run into any merge issues, checkout this git tutorial to help you resolve merge conflicts and other issues.
Congratulations 🎉🎉 The GitHub team thanks you ✨.
Once your PR is merged, your contributions will be publicly visible on the contributors page.
Now that you are part of our community, see how else you can contribute to the docs.
R package organisation is quite straigth forward:
- All R functions are stored in the
R
folder. - All documentation are stored in the
man
folder. - Data samples are stored in the
data
folder. - The
tests
folder contains the unnitest runned during compilation - Some
vignettes
are also available in their own folder to explain more the codes.
Each function are preceded by ROxygen comment to render the documentation of each function.
To transfer those ROxygen comment to Rd files in the man
folder, run:
devtools::document()
One good guidelines that could be followed is the one from the TidyVerse. It explains how to name files, functions, variable, for analyses and packages. It also add information on how to nicely write the code: space, indentations, ...
All those guidelines can be automatically detected and applied to a package with styler package.
One objective would be to add tests for each functions and for each conditions.
For that we use the package test_that.
For a given function a linked test file can be created in the test/testthat/
folder with
use_test("function_name")
When the test is added inside the file it will be ran during compilation or can be done with:
devtools::test()
To see the coverage of the generated code you can use:
library(covr)
# If run with no arguments implicitly calls `package_coverage()`
report()
To build the package Rtools will to be installed.
The package will need to pass the following test:
devtools::build()
devtools::check()
BiocCheck::BiocCheckGitClone()
BiocCheck::BiocCheck('BioShinyModules'=TRUE)