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R for Data Science Cookbook (n)

You're reading from R for Data Science Cookbook (n) Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques

Product type Paperback

Published in Jul 2016

Publisher

ISBN-13 9781784390815

Length 452 pages

Edition 1st Edition

Languages

R

Tools

ggplot

Concepts

Data Science

Author (1):

Yu-Wei, Chiu (David Chiu)

View More author details

Table of Contents (14) Chapters

Preface

1. Functions in R FREE CHAPTER

2. Data Extracting, Transforming, and Loading

3. Data Preprocessing and Preparation

4. Data Manipulation

5. Visualizing Data with ggplot2

6. Making Interactive Reports

7. Simulation from Probability Distributions

8. Statistical Inference in R

9. Rule and Pattern Mining with R

10. Time Series Mining with R

11. Supervised Machine Learning

12. Unsupervised Machine Learning

Index

Performing two-way ANOVA

Two-way ANOVA can be viewed as an extension of one-way ANOVA because the analysis covers more than two categorical variables rather than just one. In this recipe, we will discuss how to conduct two-way ANOVA in R.

Getting ready

Download the GDP dataset from the following link and ensure that you have installed R on your operating system: https://github.com/ywchiu/rcookbook/raw/master/chapter5/engineer.csv.

How to do it…

Perform the following steps to perform two-way ANOVA:

First, load the engineer's salary data from engineer.csv:
```
>engineer<-read.csv("engineer.csv", header = TRUE)
```

Plot the two boxplots of the salary factor in regard to profession and region:

>par(mfrow=c(1,2))
>boxplot(Salary~Profession, data = engineer,xlab='Profession', ylab = "Salary",main='Salary v.s. Profession')
>boxplot(Salary~Region, data = engineer,xlab='Region', ylab = "Salary",main='Salary v.s. Region')

Figure 14: A boxplot of Salary versus Profession and Salary versus Region

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Authors (1)

Yu-Wei, Chiu (David Chiu)

Yu-Wei, Chiu (David Chiu)

Yu-Wei, Chiu (David Chiu) is the founder of LargitData (www.LargitData.com), a startup company that mainly focuses on providing big data and machine learning products. He has previously worked for Trend Micro as a software engineer, where he was responsible for building big data platforms for business intelligence and customer relationship management systems. In addition to being a start-up entrepreneur and data scientist, he specializes in using Spark and Hadoop to process big data and apply data mining techniques for data analysis. Yu-Wei is also a professional lecturer and has delivered lectures on big data and machine learning in R and Python, and given tech talks at a variety of conferences. In 2015, Yu-Wei wrote Machine Learning with R Cookbook, Packt Publishing. In 2013, Yu-Wei reviewed Bioinformatics with R Cookbook, Packt Publishing. For more information, please visit his personal website at www.ywchiu.com. **********************************Acknowledgement************************************** I have immense gratitude for my family and friends for supporting and encouraging me to complete this book. I would like to sincerely thank my mother, Ming-Yang Huang (Miranda Huang); my mentor, Man-Kwan Shan; the proofreader of this book, Brendan Fisher; Members of LargitData; Data Science Program (DSP); and other friends who have offered their support.

See other products by Yu-Wei, Chiu (David Chiu)

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