R by Example

Concepts to Code

  • Jim Albert
  • Maria Rizzo

Part of the Use R! book series (USE R)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Jim Albert, Maria Rizzo
    Pages 1-42
  3. Jim Albert, Maria Rizzo
    Pages 43-78
  4. Jim Albert, Maria Rizzo
    Pages 79-99
  5. Jim Albert, Maria Rizzo
    Pages 101-131
  6. Jim Albert, Maria Rizzo
    Pages 133-151
  7. Jim Albert, Maria Rizzo
    Pages 153-172
  8. Jim Albert, Maria Rizzo
    Pages 173-197
  9. Jim Albert, Maria Rizzo
    Pages 199-225
  10. Jim Albert, Maria Rizzo
    Pages 227-241
  11. Jim Albert, Maria Rizzo
    Pages 243-253
  12. Jim Albert, Maria Rizzo
    Pages 255-276
  13. Jim Albert, Maria Rizzo
    Pages 277-305
  14. Jim Albert, Maria Rizzo
    Pages 307-336
  15. Back Matter
    Pages 337-359

About this book

Introduction

R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data.

 

The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R.

Keywords

R applications

Authors and affiliations

  • Jim Albert
    • 1
  • Maria Rizzo
    • 2
  1. 1.Dept. Mathematics & StatisticsBowling Green State UniversityBowling GreenUSA
  2. 2.Dept. Mathematics & StatisticsBowling Green State UniversityBowling GreenUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-1365-3
  • Copyright Information Springer Science+Business Media, LLC 2012
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-1364-6
  • Online ISBN 978-1-4614-1365-3
  • About this book