Reproducible Analytical Pipeline learning materials

A collection of documents describing what a Reproducible Analytical Pipeline is and why it is useful. We will continue to add resources to this repository as we create them.

A Reproducible Analytical Pipeline (RAP) brings together code and data to generate outputs. The RAP pipeline is built within a version control system (e.g. git) to create a transparent production process.

Resources list

• Introduction to RAP presentation
  • A presentation introducing the concept of RAP and why it is useful.
  • Available as pdf here.
  • Code is available here.
• Using RMySQL R package tutorial
  • A tutorial going through how to use the RMySQL package to interact with a SQL server directly from R.
  • Code available here.
• Make git happen
  • A presentation introducing git.
  • Code available here.
• git going with R
  • A presentation illustrating how to use git with R
  • Code available here.
• git glossary
  • A dashboard visualising a simple git glossary and list of resources.
  • Code available here.
• Creating a GANTT chart in R
  • A quick tutorial to about creating a GANTT chart in R.
  • Code available here.
  • GANTT charts are used for visualising project timelines - using horizontal bars and events to illustrate work packages, tasks and outputs.
• Creating a word document using Rmarkdown
  • A template document to demonstrate how to build a microsoft word document using Rmarkdown
  • Code available here
  • Output word document here

Note: for links to html documents, you'll need to click the raw document and save a html file locally that you double click on to view content in your default internet browser. For presentations (RAP, make-git-happen, and git-going-with-R), you can view the presentation notes during a presentation by pressing "p".