Git Product home page Git Product logo

raukr-2019's Introduction

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

raukr-2019's People

Contributors

bsennblad avatar mkierczak avatar nikolayoskolkov avatar royfrancis avatar sebastian-d avatar

Stargazers

 avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

raukr-2019's Issues

Advanced Stats plot legend

It'd be do to add a legend to the LMM plot per individual so that tomorrow and in a year people will get what the black line and what the black line are.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.