R by Example (Paperback)

Jim Albert

ISBN 10: 3031760735 / ISBN 13: 9783031760730

Published by Springer International Publishing AG, Cham, 2024

About this Item

Paperback. Now in its second edition, 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, it 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.The new edition includes expanded coverage of ggplot2 graphics, as well as new chapters on importing data and multivariate data methods. Now in its second edition, 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9783031760730

Bibliographic Details

• Title: R by Example (Paperback)
• Publisher: Springer International Publishing AG, Cham
• Publication Date: 2024
• Language: English
• ISBN 10: 3031760735
• ISBN 13: 9783031760730
• Binding: Paperback
• Edition: 2nd Edition
• Condition: new

About this title

Synopsis

Now in its second edition, 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, it 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.

The new edition includes expanded coverage of ggplot2 graphics, as well as new chapters on importing data and multivariate data methods.

About the Author

Maria Rizzo is professor of statistics at Bowling Green State University. Her recent book publications include Statistical Computing with R, 2e (2019) and Energy Statistics (forthcoming).

Jim Albert is professor of mathematics and statistics at Bowling Green State University. His recent book publications include Analyzing Baseball Data with R, 2e (with Max Marchi and Benjamin S. Baumer, 2018), Visualizing Baseball (2017), and Bayesian Computation with R (Springer 2009).