Fitting a Poisson regression in R
In this exercise, you will fit a Poisson regression using glm().
GLMs in R use the same formula notation as linear models: response ~ predictor.
However, the model also requires the error or distribution family to be specified with the family = ... argument.
To fit a Poisson regression, set family equal to "poisson" (make sure to include the quotes " around poisson).
You will use a simulated dataset with a predictor variable time and response count.
A real dataset could be number of points scored, clicks on a webpage, or birds you see out your window.
This exercise is part of the course
Generalized Linear Models in R
Exercise instructions
- Using data.frame
dat, fit a Poisson regression wherecountis predicted bytimewith thepoissonfamily. Save the model aspoisson_out. - Print
poisson_outto the screen.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# fit y predicted by x with data.frame dat using the poisson family
poisson_out <- ___
# print the output
print(___)