Poisson regression plotting
Using geom_smooth to plot data from a Poisson regression is similar to plotting a binomial.
However, you need to change the family argument in geom_smooth().
During this exercise, you will plot the number of cancer cells per cm\(^2\) and use a geom_smooth().
This is the same simulated dataset you saw in the video.
This exercise is part of the course
Generalized Linear Models in R
Exercise instructions
- Use
geom_jitter()to set both the jitter width and height to0.05. - Use
geom_smooth()to create a line-based on a Poisson regression.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Use geom_smooth to plot a continuous predictor variable
ggplot(data = dat, aes(x = dose, y = cells)) +
___(___ = ___, ___ = ___) +
___(method = '___', method.args = list(___ = '___'))