The Book of R: A First Course in Programming and Statistics
Language: English
Published by No Starch Press, 2016
- First Edition
- Softcover
- Used

Seller: Boscana Books, Guasti, CA, U.S.A.Boscana Books
AbeBooks seller since June 23, 2020
Condition: Used - Very good
US$ 23.95
Quantity: 1 available
Add to basketItem description from seller
Front cover flares open a tad when laying down but not the back. The front looks sanded but is very clean. Lightly read. Otherwise clean and solid.
Seller Inventory # 000229
- Title
- The Book of R: A First Course in Programming and Statistics
- Author
- Davies, Tilman M.
- Publisher
- No Starch Press
- Publication year
- 2016
- Condition
- Very Good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1593276516
- ISBN 13
- 9781593276515
- Edition
- 1st Edition
- Printing
- 1st Printing
- Dimensions
- 12mo - over 6¾ - 7¾" tall
You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package.
Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn:
–The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops
–Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R
–How to access R’s thousands of functions, libraries, and data sets
–How to draw valid and useful conclusions from your data
–How to create publication-quality graphics of your results
Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
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