Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788393720
Length 570 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Tony Fischetti Tony Fischetti
Author Profile Icon Tony Fischetti
Tony Fischetti
Arrow right icon
View More author details
Toc

Table of Contents (19) Chapters Close

Preface 1. RefresheR 2. The Shape of Data FREE CHAPTER 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

Exercises


  • One of the great things about the bootstrap is how conceptually simple and flexible the procedure is. This makes it very easy to do our own research on it. In this exercise, we will be doing simulations of simulations. Specifically, to see for ourselves the deterioration of the reliability of bootstrap results as sample sizes get smaller, make samples of a normal distribution of a fixed mean, 30 or 50 times, with sample sizes of 100 to 5, going down by 5 each time. For each of these 30 to 50 times, perform the bootstrap procedure (with a sensible number of replications), and find out which proportion of the time the BCa confidence interval contains the mean we chose. Is it 95%, like we would expect? Repeat the procedure with other types of distributions. Does the reliability of the results differ?
  • Learn about the other approaches to the bootstrap that we mentioned in the last section. How does the smooth bootstrap solve the problem of the assumption of the non-existence of data...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime