Using R for Introductory Statistics

Verzani, John

ISBN 10: 1466590734 / ISBN 13: 9781466590731

Published by Chapman And Hall/Crc, 2014

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:9781466590731.

Seller Inventory # 5957242

Bibliographic Details

• Title: Using R for Introductory Statistics
• Publisher: Chapman And Hall/Crc
• Publication Date: 2014
• Language: English
• ISBN 10: 1466590734
• ISBN 13: 9781466590731
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: Good
• Weight: 950 grams
• Seller catalogs:
  • Mathematics

About this title

Synopsis

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.

See What’s New in the Second Edition:

• Increased emphasis on more idiomatic R provides a grounding in the functionality of base R.
• Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible.
• Use of knitr package makes code easier to read and therefore easier to reason about.
• Additional information on computer-intensive approaches motivates the traditional approach.
• Updated examples and data make the information current and topical.

The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text.

The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.

About the Author

John Verzani