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You're reading from  R Statistics Cookbook

Product typeBook
Published inMar 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789802566
Edition1st Edition
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Francisco Juretig
Francisco Juretig
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Francisco Juretig

Francisco Juretig has worked for over a decade in a variety of industries such as retail, gambling and finance deploying data-science solutions. He has written several R packages, and is a frequent contributor to the open source community.
Read more about Francisco Juretig

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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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R Statistics Cookbook
Published in: Mar 2019Publisher: PacktISBN-13: 9781789802566

Author (1)

author image
Francisco Juretig

Francisco Juretig has worked for over a decade in a variety of industries such as retail, gambling and finance deploying data-science solutions. He has written several R packages, and is a frequent contributor to the open source community.
Read more about Francisco Juretig