Using R for Introductory Statistics, Second Edition

John Verzani

June 26, 2014 by Chapman and Hall/CRC
Textbook - 518 Pages - 112 B/W Illustrations
ISBN 9781466590731 - CAT# K20484
Series: Chapman & Hall/CRC The R Series

USD$66.95

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Features

  • Contains new chapters on permutation tests, data management, programming, and RStudio
  • Expands the chapter on categorical data analysis
  • Includes more examples and exercises

Solutions manual and figure slides available upon qualifying course adoption

Summary

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.

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