Applying summary(), print(), and tidy() to glm
print() and summary() are two of the backbone R functions for examining models.
These functions tells us about the basics model outputs.
Using data from Louisville, KY, USA about the number of civilian fire injury victims per day, you will examine a linear regression's output and a Poisson regression's output.
In addition to the base R function, we will use the tidy function from the broom package.
This creates a tidy output for each of the models.
Note that broom needs to be installed and does not come with base R.
This exercise is part of the course
Generalized Linear Models in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Build your linear and Poisson regression models
lm_out <- ___
poisson_out <- ___