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.

1
- Build a linear regression and Poisson regression using the data frame dat where Number is predicted by Month with lm() and glm().
2
- Examine the print() output for both models.
3
- Examine the summary() output for both models.
4
- Examine the tidy() output for both models.

Exercise

Applying summary(), print(), and tidy() to glm

Instructions 1/4