March 2019
Beginner to intermediate
448 pages
13h 14m
English
Content preview from R Statistics Cookbook
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How to do it...
We will use the following steps to perform ANOVA:
- In the previous example, we loaded a balanced dataset that had two outliers. These had to be removed to get a model that had Gaussian residuals. The problem that we ignored in the previous chapter is that the design is no longer balanced:
library(dplyr) r = read.csv("./2wayanova.csv") r = r[-c(22,44),]
- Let's use the ANOVA Type I sum of squares. The interaction is clearly not significative:
type1 = aov(Sales ~ Colour + Font + Font*Colour,data=r ) summary(type1)
This results in the following output:
- Since the interaction is not significative, we can use the Type II sum ...
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