A Additional resources

There are a number of incredible open-access online resources that, using the skills you have developed in this tutorial, will allow you to start adapting your figures and plots to make them as informative as possible for your reader. Additionally, there are also many excellent resources that expand on some of the topics we have covered here briefly, particularly data wrangling, that can help you consolidate and expand your skill set.


The psyTeachR team at the University of Glasgow School of Psychology and Neuroscience has successfully made the transition to teaching reproducible research using R across all undergraduate and postgraduate levels. Our curriculum now emphasizes essential ‘data science’ graduate skills that have been overlooked in traditional approaches to teaching, including programming skills, data visualisation, data wrangling and reproducible reports. Students learn about probability and inference through data simulation as well as by working with real datasets. These materials cover all the functions we have used in this tutorial in more depth and all have Creative Commons licences to allow their use and reuse without attribution.

Installing R and RStudio

Intro to R and RStudio

R Markdown

Data wrangling

Data visualisation