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Data Analysis with R

You're reading from  Data Analysis with R

Product type Book
Published in Dec 2015
Publisher
ISBN-13 9781785288142
Pages 388 pages
Edition 1st Edition
Languages
Toc

Table of Contents (20) Chapters close

Data Analysis with R
Credits
About the Author
About the Reviewer
www.PacktPub.com
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. Predicting Continuous Variables 9. Predicting Categorical Variables 10. Sources of Data 11. Dealing with Messy Data 12. Dealing with Large Data 13. Reproducibility and Best Practices 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 upper case 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 data set on the web, download it, and load it into R. Explore the structure of the data set.

  • Reflect upon how Hester Prynne allowed her scarlet letter to be decorated with flowers by her daughter in Chapter 10. 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.

You have been reading a chapter from
Data Analysis with R
Published in: Dec 2015 Publisher: ISBN-13: 9781785288142
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