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RaukR 2019 • Teaching Materials

Welcome to the RaukR 2019 Teaching Materials GitHub repository.

How to add my own materials?

  • Fork this repository to your GitHub.
  • Clone your fork to your computer.
  • If you already have started preparing materials, copy the folders to /docs/topic/presentation and /docs/topic/lab.
  • In the /docs/topic/presentation folder add all files needed to render the presentation and its rendered version in html. Just copy contents of the folder you have rendered in R-studio.
  • In the /docs/topic/lab add all files needed to render the lab and its rendered version in html. Just copy contents of the folder you have rendered in R-studio.
  • Add links to your rendered html files to docs/index.md so that the content can be seen here
  • Once you are happy, create a pull request (online) and assign someone as a reviewer.
  • When you get back your reviewer's comments, address them and push them to your local fork.
  • Assign yourself (online) or someone else to the pull request.
  • Merge pull request (online).
  • Continue making your materials even better. Create a new pull request when you achieve next milestone.

Reviewer assignment.

  • Assign as reviewer(s) your colleagues who can judge the content.

As a reviewer.

  • You do not need to do all the assignments and run all the code. Just check the slides are not missing or rendering in a wrong way. Also look if something is missing in the content or give suggestions on how to improve it.
  • You can work in two ways:
    • clone your colleagues fork, work on her/his presentation slides/lab and pull request the changes that she/he will merge OR
    • just leave the comments in the pull request and let the author know.

Seeing the content.

If you add to links to your rendered html files to docs/index.md, the content can be seen at: https://nbisweden.github.io/RaukR-2019/

Large files (datasets)

If you have files larger than 100Mb in your materials, e.g. a dataset:

before you issue git add yourlargefile follow instructions here: https://git-lfs.github.com

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