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R Statistics Cookbook

You're reading from   R Statistics Cookbook Over 100 recipes for performing complex statistical operations with R 3.5

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789802566
Length 448 pages
Edition 1st Edition
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Author (1):
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Francisco Juretig Francisco Juretig
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Francisco Juretig
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with R and Statistics FREE CHAPTER 2. Univariate and Multivariate Tests for Equality of Means 3. Linear Regression 4. Bayesian Regression 5. Nonparametric Methods 6. Robust Methods 7. Time Series Analysis 8. Mixed Effects Models 9. Predictive Models Using the Caret Package 10. Bayesian Networks and Hidden Markov Models 11. Other Books You May Enjoy

Two-way ANOVA

We could extend our initial example (a website with different color palettes) to something slightly more complex: instead of having just one factor (color), we could have another one (actually, we could have even more than two). For example, we could add the font type that was used on the website and study how those two factors (color and font type) impact the number of purchases that are made. Unfortunately, this adds an extra complication, because one effect might depend on the levels for the other one: for example, the font type might be relevant to explain the number of purchases, but only when the color is red.

The effects for the color and website are usually referred to as main effects, and the interaction between them is referred to as the interaction effect. Before analyzing the main effects, we should always study the interaction effect first: if it is...

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