R and Statistics at RSB
- Day 1-4: Basics of R coding
- Day 5, Statistical modelling part 1: Introduction and lm()
- Day 6, Statistical modelling part 2: Linear models, interpretation, prediction, additive effects, interactions
- Day 7, Statistical modelling part 3: Variance structure and introduction to random effects
- Day 8, Statistical modelling part 4: Random effects and mixed models in lme4
- Day 9, Statistical modelling part 5: GLMs and logistic regression
- Day 10, Statistical modelling part 6: GLMs for count data
- Day 11, R-Markdown
- Day 12, Making packages