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Data Analysis with R, Second Edition

You're reading from   Data Analysis with R, Second Edition A comprehensive guide to manipulating, analyzing, and visualizing data in R

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788393720
Length 570 pages
Edition 2nd Edition
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Author (1):
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Tony Fischetti Tony Fischetti
Author Profile Icon Tony Fischetti
Tony Fischetti
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Table of Contents (19) Chapters Close

Preface 1. RefresheR FREE CHAPTER 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 18. Other Books You May Enjoy

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...

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