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.
This exercise is part of the course
Generalized Linear Models in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a matrix that includes color and then shape
model.matrix(___)