Multiple Comparisons
Learn about the post-hoc comparisons, which are also known as Tukey tests.
Introduction
It’s often helpful and necessary to compare the different levels within a single categorical variable. For example, we probably would like to know if our three predator treatments differ significantly from one another. There are two primary ways to do this:
- We can use the
glht()
function in the multcomp package. The word multcomp is short for “multiple comparisons,” andglht()
stands for “general linear hypothesis test.” - We can use the emmeans package to calculate the estimated marginal means from the model and pairwise differences between them.
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