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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

Repeated measures

Repeated measures designs contain several measurements for the same experimental unit. This generally occurs when we assign different doses of a treatment to a unit and want to evaluate the response through time.

We now have a fixed effect for time, which is typically coded as 1,2,3..,k that needs to be added. We would expect that this variable/effect will have an impact on the response.

These designs raise four major points, and we need to decide how to solve them:

  • Do we think that time has the same impact for all of the experimental units? We have two options for this:
    • If yes, we will just add the time variable as a fixed effect.
    • If no, we will still add the time variable as a fixed effect, plus a random effect for time by subject. What this means is that the time effect can be obtained as the sum of the fixed effect (average for all units) plus the random...
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