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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
Author Profile Icon Francisco Juretig
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

Reporting results with the sjPlot package

Exporting our linear regression results for publication is usually a cumbersome task, because there is a lot of important content in them (p-values, coefficients, other fit metrics) and R does not print particularly nice tables.

One option is to export these numbers and create a new table in any text-editing software. But that takes a lot of effort, and it never looks that great.

The sjPlot package can be used for creating publication-grade output values such as tables and plots, and it's not just restricted to operate with linear models, it can also work with a wide array of techniques (such as principal components and clustering).

Getting ready

The sjPlot package needs...

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