exercises for each day #4
Description
Day 1: Univariate models and data simulation
solo exercise: "catch" a univariate distribution
- what phenomenon will you measure. What distribution might it be?
- simuate the data
- collect it
- plot it. Does it look like what you expect?
Day 2: Linear regression
- Is linear regression useful for one of your current/past/future projects? Why?
We looked at the effect of a nonadditive effect of a factor. How do we model an interaction? ie extend the code to do that. - what would need to change to make this work for a continous factor?
Day 3: Random effects
- simulate data using random effects. How wide is too wide for a prior on a hyperparameter?