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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

Product type Paperback

Published in Mar 2019

Publisher Packt

ISBN-13 9781789802566

Length 448 pages

Edition 1st Edition

Languages

R

Tools

ggplot

Concepts

Statistics

Author (1):

Francisco Juretig

View More author details

Table of Contents (12) Chapters

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

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Estimating nonparametric ANOVA

The Mann-Whitney-Wilcoxon test that we presented in the previous recipe, can be extended to multiple groups (not just 2 was before). For one-way Analysis Of Variance (ANOVA), the test that is used is called Kruskal-Wallis; we have the kruskal.test() function in base R.

For nonparametric two-way ANOVA, the Scheirer-Ray-Hare test can be used; however, the documentation is scarce, and it is not frequently used.

Getting ready

In order to run this script, you need to install the FSA and dplyr packages.

How to do it...

We will work with nonparametric...

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Authors (1)

Juretig

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.

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