Multiple intercepts
With multiple intercepts, predictor variable order become important if you want to estimate intercepts for one group. This is because R only estimates intercepts for the first predictor variable. All other predictor intercepts will contrast to a reference group within the factor.
In the previous exercise, you constructed a contrast matrix with one intercept with and without an intercept for each group. During this exercise, build a contrast matrix with two group variables and use the -1
option.
Then, swap the order of the input variables.
This allows you to see how order is important for the contrast levels.
Cet exercice fait partie du cours
Generalized Linear Models in R
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Create a matrix that includes color and then shape
model.matrix(___)