Exercise

# ANOVA in R

ANOVA in R is usually done with the `aov()`

function.

If you completed the previous course in this series, you are already familiar with this function and know that it gives you the ANOVA model with the F-ratio and p-value. The latter values are identical to those calculated in the previous exercises.

Instructions

**100 XP**

- Fit an ANOVA model called
`model`

using the`aov()`

function. Because you're using repeated measures, you have to add a term`Error(wm$subject / wm$condition)`

. This term tells R that you need a special error term since you are working in a repeated measures design and the error term differs. So you add this term, saying that the subjects are measured repeatedly across conditions. - Make a summary of the model using the
`summary()`

function.