Overview

Two-way ANOVA

This week we will extend of our understanding by learning how to include two categorical explanatory variables in a general linear model. This model is often known as the two-way ANOVA. It has three null hypotheses

Learning objectives

The successful student will be able to:

  • combine dataframes of the same structure

  • select, appropriately, two-way ANOVA

  • apply and interpret lm() for a two-way ANOVA

  • evaluate whether the assumptions of lm() are met

  • understand the meaning of the interaction term

  • scientifically report a two-way ANOVA result including appropriate figures

Instructions

  1. Prepare

    1. 📖 Read Two-way ANOVA

  2. Workshop

    1. 💻 Two-way ANOVA Choline deficiency on neuron size

  3. Consolidate

    1. 💻 Appropriately test whether there are regional differences between two species of butterfly.