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.
Cet exercice fait partie du cours
Generalized Linear Models in R
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.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Use geom_smooth to plot a continuous predictor variable
ggplot(data = dat, aes(x = dose, y = cells)) +
___(___ = ___, ___ = ___) +
___(method = '___', method.args = list(___ = '___'))