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  • Book
  • © 2012

R by Example

  • Illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics
  • Provide a general introduction to the R system and provides an overview of the capabilities of R to perform basic numerical and graphical summaries of data
  • R functions are presented in the context of interesting applications with real data

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

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xiv
  2. Introduction

    • Jim Albert, Maria Rizzo
    Pages 1-42
  3. Quantitative Data

    • Jim Albert, Maria Rizzo
    Pages 43-78
  4. Categorical data

    • Jim Albert, Maria Rizzo
    Pages 79-99
  5. Presentation Graphics

    • Jim Albert, Maria Rizzo
    Pages 101-131
  6. Exploratory Data Analysis

    • Jim Albert, Maria Rizzo
    Pages 133-151
  7. Basic Inference Methods

    • Jim Albert, Maria Rizzo
    Pages 153-172
  8. Regression

    • Jim Albert, Maria Rizzo
    Pages 173-197
  9. Analysis of Variance I

    • Jim Albert, Maria Rizzo
    Pages 199-225
  10. Analysis of Variance II

    • Jim Albert, Maria Rizzo
    Pages 227-241
  11. Randomization Tests

    • Jim Albert, Maria Rizzo
    Pages 243-253
  12. Simulation Experiments

    • Jim Albert, Maria Rizzo
    Pages 255-276
  13. Bayesian Modeling

    • Jim Albert, Maria Rizzo
    Pages 277-305
  14. Monte Carlo Methods

    • Jim Albert, Maria Rizzo
    Pages 307-336
  15. Back Matter

    Pages 337-359

About this book

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.

Reviews

From the reviews:

“This book is an example-driven introduction to both R as a programming environment and widely used statistical concepts such as regression, ANOVA, Bayesian modeling, and randomization and simulation experiments. … The book is an excellent addition to the lecture notes for undergraduate and master students as well as a reliable source of examples for lecturers. The exercises presented in parallel with the theoretical aspects guide the reader in an efficient way through the statistical methods.” (Irina Ioana Mohorianu, zbMATH, Vol. 1275, 2014)

Authors and Affiliations

  • Dept. Mathematics & Statistics, Bowling Green State University, Bowling Green, USA

    Jim Albert, Maria Rizzo

About the authors

Maria Rizzo is Associate Professor in the Department of Mathematics and Statistics at Bowling Green State University.

Jim Albert is Professor of Mathematics and Statistics at Bowling Green State University.

Bibliographic Information

  • Book Title: R by Example

  • Authors: Jim Albert, Maria Rizzo

  • Series Title: Use R!

  • DOI: https://doi.org/10.1007/978-1-4614-1365-3

  • Publisher: Springer New York, NY

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2012

  • Softcover ISBN: 978-1-4614-1364-6Published: 23 November 2011

  • eBook ISBN: 978-1-4614-1365-3Published: 28 January 2012

  • Series ISSN: 2197-5736

  • Series E-ISSN: 2197-5744

  • Edition Number: 1

  • Number of Pages: XIII, 359

  • Number of Illustrations: 104 b/w illustrations, 21 illustrations in colour

  • Topics: Statistical Theory and Methods

Buy it now

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access