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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 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

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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