Resources for each day of the summer school are available here.
The goal in Day 0 is to provide an “R Bootcamp”, which provides a basic introduction to programming in R. The content of the bootcamp covers the core toolkit section of Danielle Navarro’s R for Psychological Science. Other resources for the day:
The morning of Day 1 covers Git, GitHub, and project organisation. The goal is to help you develop a workflow that saves time for yourself and allows others to easily understand and reproduce your work. The afternoon shows you how to host an experiment as a web application using Google App Engine.
Day 4 focuses on running statistical analyses (both frequentist and Bayesian) in R, and Bayesian cognitive models.
Some online resources that you may find useful