Using R for Introductory Statistics (Chapman & Hall/CRC The R Series)
Language: English
Published by Chapman and Hall/CRC, 2014
- Hardcover
- Used
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Used - Good: A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
Seller Inventory # CSIV.1466590734.G
- Title
- Using R for Introductory Statistics (Chapman & Hall/CRC The R Series)
- Author
- Verzani, John
- Publisher
- Chapman and Hall/CRC
- Publication year
- 2014
- Condition
- good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1466590734
- ISBN 13
- 9781466590731
- Edition
- 2nd Edition
- Series
- Book 40 of 73: Chapman & Hall/CRC The R
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.
"Synopsis" may belong to another edition of this title.
About the Author
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