Introduction to Data Analysis with R Statistical Software
Day 1
09:00 – 09:30 Installation of additional software and accessing Dropbox materials
09:30 – 10:00 Introductions and welcome talk
10:00 – 12:00 Getting started with R and RStudio; syntax, scripts and data handling
12:00 – 13:00 Data wrangling 14:00 – 16:30 The General Linear Model –main effects and interactions, parameter estimates, contrasts and prediction graphs.
16:30 – 17:00 Practice with an example dataset
Day 2
10:00 – 10:30 Workshop session: Investigating your own data (formatting data and discussing research questions)
10:30 – 13:00 GLMs for count data
14:00 – 15:00 GLMs for binomial data
15:00 – 16:00 GLMs for Gamma data
16:00 – 16:30 Workshop session
16:30 – 17:00 End of course pep talk