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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

Exercises

You can practice the following exercises to help you get a good grasp of the concepts learned in this chapter:

Write a function called simon.says that takes in a character string and returns that string in all uppercase after prepending the string Simon says: to the beginning of it.
Write a function that takes two matrices as arguments and returns a logical value representing whether the matrices can be matrix multiplied.
Find a free dataset on the web, download it, and load it into R. Explore the structure of the dataset.
Reflect upon how Hester Prynne allowed her scarlet letter to be decorated with flowers by her daughter in the novel, The Scarlet Letter: A Romance. To what extent is this indicative of Hester's recasting of the scarlet letter as a positive part of her identity? Back up your thesis with excerpts from the book.

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Data Analysis with R, Second Edition - Second Edition

Published in: Mar 2018 Publisher: Packt ISBN-13: 9781788393720

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