Skip to content

Carpentry-style lesson on how to use R, RStudio together with git & Github to promote Open Science practices.

License

Notifications You must be signed in to change notification settings

Dallak/open-science-with-r

This branch is up to date with carpentries-incubator/open-science-with-r:gh-pages.

Folders and files

NameName
Last commit message
Last commit date

Latest commit

04596ef Β· Oct 6, 2021
May 16, 2019
Oct 6, 2021
Aug 21, 2020
Jun 10, 2021
Jul 27, 2020
Jun 21, 2019
Jun 20, 2016
Aug 4, 2019
Jun 20, 2016
Jun 20, 2016
Oct 6, 2021
Nov 25, 2019
Jun 17, 2021
Feb 24, 2021
Aug 21, 2018
Jun 10, 2021
Aug 4, 2019
Jan 28, 2021
Aug 4, 2019
Jun 19, 2018
Aug 4, 2019
Jun 10, 2021
Dec 3, 2018
Jul 27, 2020
Jun 10, 2021
Jun 10, 2021
May 29, 2019
Oct 2, 2020
Aug 4, 2019
Jun 17, 2021

Repository files navigation

Open Science with R

All Contributors

Create a Slack Account with us

This repository generates the corresponding lesson website from The Carpentries repertoire of lessons.

This lesson teaches modern R scripting using the tidyverse collection of packages, version control and collaboration using git and GitHub. Altogether, this provides a foundation for a more Open Science by offering practical ways of analysing data and building workflows and figures in a transparent and efficient manner.

Local preview of the website

To visualise the website before comming your changes and pushing them to GitHub, several options are available.

Ruby rbenv

rbenv is a way to manage different Ruby version on your machine. The GitHub page is here: https://github.com/rbenv/rbenv.

  1. Install rbenv by following the instructions.
  2. Install your Ruby version with rbenv install 2.7.3
  3. Install the required Gems (see the Gemfile for the dependency list with bundle install
  4. Preview the website locally with bundle exec jekyll serve. This will read the _config.yml file by default.
  5. Preview the website locally at http://127.0.0.1:4000

Contributing and authors

We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.

We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.

Please see the current list of [issues][FIXME] for ideas for contributing to this repository. For making your contribution, we use the GitHub flow, which is nicely explained in the chapter Contributing to a Project in Pro Git by Scott Chacon. Look for the tag good_first_issue. This indicates that the mantainers will welcome a pull request fixing this issue.

Maintainer(s)

Current maintainers of this lesson are

  • Marc Galland @mgalland

Authors

A list of contributors to the lesson can be found in AUTHORS

Citation

To cite this lesson, please consult with CITATION

Contributors ✨

Thanks goes to these wonderful people (emoji key):


Stijn Van Hoey

πŸ‘€

Rodrigo

πŸ‘€

Anouk Zancarini

πŸ‘€

tijs bliek

πŸ‘€ ⚠️

This project follows the all-contributors specification. Contributions of any kind welcome!

About

Carpentry-style lesson on how to use R, RStudio together with git & Github to promote Open Science practices.

Resources

License

Citation

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 82.2%
  • Makefile 8.5%
  • R 7.5%
  • Ruby 1.1%
  • Other 0.7%