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  3. Generalized Linear Models in R

Exercise

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.

Instructions 1/2

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  • 1
    • Build a contrast matrix using model.matrix() with color first and shape second. Be sure to include - 1.
  • 2
    • Build a contrast matrix using model.matrix() with shape first and color second. Be sure to include - 1.