Building the model
As part of the model building process, first build a simple Poisson regression. A glm()
runs quicker than glmer()
and is easier to debug. For example, the Poisson regression might catch if you have non-integer data. Plus, the Poisson regression can provide intuition about the more complicated model.
If you run into any problems, follow the instructions to fix your data.
Last, build and save a repeated-measures Poisson regression.
This exercise is part of the course
Hierarchical and Mixed Effects Models in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Model TotalIncidents predicted by Year and County
# Use a Poisson regression with the hate data.frame
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