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You're reading from  R Statistics Cookbook

Product typeBook
Published inMar 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789802566
Edition1st Edition
Languages
R
Tools
ggplot
Concepts
Statistics
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Author (1)
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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Some useful plots for mixed effects models

In this recipe, we will explore some interesting plots that are for presenting and analyzing the results from mixed effects models. In the simplest formulation of mixed effects models, we have a random intercept by group. Every observation belonging to the same group will share that very same shock, rendering all of them correlated. But this can be extended to other coefficients (not just the intercept). We could have yet another coefficient, that is, beta would be the sum of beta1 (which would be fixed) and beta_random (this would be a random effect). What this would imply is that the slope relating to the regressor and the response, would have two parts: a part that is the same for all the observations, and another part that depends on each group.

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R Statistics Cookbook
Published in: Mar 2019Publisher: PacktISBN-13: 9781789802566
© 2019 Packt Publishing Limited All Rights Reserved

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

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