Hack Your Data Beautiful
Coding to creatively and credibly communicate complex ideas
Coding to creatively and credibly communicate complex ideas
The psyTeachR team at the University of Glasgow School of Psychology 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.
This website contains our open materials for teaching reproducible research.
Materials for the University of Glasgow Institute of Neuroscience and Psychology’s undergraduate and MSc methods courses.
Experiences, insights, and materials for teaching R across all undergraduate and postgraduate levels.
The webex package enables instructors to easily create web tutorials using RMarkdown for self-guided learning.
A list of free, open-source software available for doing and teaching open science.
A glossary of terms used in psyTeachR materials
A quick start guide for the specific bookdown templates we’re using at UofG Psychology, plus a style guide and inclusion guidelines for open science materials.
A series of tutorials for creating shiny apps for psychology research and teaching.
Materials for the University of Glasgow Institute of Neuroscience and Psychology’s Academic Websites class in the MSc Professional Skills course. It will show you how to create a simple academic website using GitHub and RStudio.
MSc course materials providing an overview of skills needed for reproducible research and open science using the statistical programming language R, including data visualisation, data tidying and wrangling, archiving, iteration and functions, probability and data simulations, general linear models, and reproducible workflows.
