Welcome to the course “Analysis of experimental data from decentralized trials supported by citizen science”. The aim of this course is that you learn the principles to analyse the ranking data generated through the triadic comparison of technologies (tricot) approach data.

How this course works

The course starts from the understanding that you have a notion on the R programming language. If you are new in R or never used it, I recommend that you take (and re-take as many times as needed) the “Short introduction to R”. There you will find the elements that you need to learn for this course and some extra reading to make you ready.

You read the materials and watch the lectures in your own time. Your team leader (or contact point) will probably set a deadline for your group to complete the course. After that the team leader will organize with me a Q&A section where all the group participants will meet (on-line). In this Q&A we will work with your tricot data (if any) and talk about your questions.

Good luck!

Course content

These are the topics that we are going to study

  1. Course overview
  2. Project-oriented workflow
  3. Short introduction to R
  4. Introduction to Plackett-Luce model
  5. tricot rankings into Plackett-Luce rankings
  6. Get data from ClimMob to R
  7. Visualization and summary
  8. Plackett-Luce Trees
  9. Q&A (organize with teams)

Lectures

Watch the lectures from the above topics here

Classroom materials

Click here to download the classroom materials. This is a .zip file with the project data inside it. Unzip the file and put it in the directory of your preference.

To download the slides of sections 1 to 6 click here

To download the videos of lectures 1 to 8 click here

Comments and questions

Please send your comments and/or questions via an issue in the GitHub repository here (preferably) or alternatively to my email <k.desousa(at)cgiar.org>.

Check the News on this course and troubleshooting here.