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Data Analysis with R, Second Edition - Second Edition

You're reading from Data Analysis with R, Second Edition - Second Edition

Product type Book

Published in Mar 2018

Publisher Packt

ISBN-13 9781788393720

Pages 570 pages

Edition 2nd Edition

Languages

Concepts

Table of Contents (24) Chapters

Title Page

Copyright and Credits

Packt Upsell

Contributors

Preface

1. RefresheR

2. The Shape of Data

3. Describing Relationships

4. Probability

5. Using Data To Reason About The World

6. Testing Hypotheses

7. Bayesian Methods

8. The Bootstrap

9. Predicting Continuous Variables

10. Predicting Categorical Variables

11. Predicting Changes with Time

12. Sources of Data

13. Dealing with Missing Data

14. Dealing with Messy Data

15. Dealing with Large Data

16. Working with Popular R Packages

17. Reproducibility and Best Practices

1. Other Books You May Enjoy

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Index

What's... uhhh... the deal with the bootstrap?

You may be pleased to hear that you, dear reader, are already set up for a keen understanding of the bootstrap based on the material in Chapter 5, Using Data to Reason about the World. Specifically, recall how the subject of sampling distributions of sample means was broached (if you need to refer back to the section, please do!). In our very hands-on creation of our first sampling distribution of sample means, we created a vector of 10,000 normally distributed (mean of 65, and standard deviation of 3.5) values representing a population of the heights of US women in inches. We then took 10,000 samples of size 40 from this population, took means of those samples, and plotted this distribution.

Call to mind that this sampling distribution had a mean equal to the population mean, and a standard deviation of population standard deviation divided by the square root of the sample size. Recall that the standard deviation of the sampling distribution...

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