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(Ebook) Using R For Introductory Statistics (Second Edition) by John Verzani ISBN 9781466590731, 1466590734, B00L2EBHXM

  • SKU: EBN-5066962
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Instant download (eBook) Using R For Introductory Statistics (Second Edition) after payment.
Authors:John Verzani
Pages:518 pages.
Year:2014
Editon:2nd Edition
Publisher:Chapman & Hall/CRC Press
Language:english
File Size:9.31 MB
Format:pdf
ISBNS:9781466590731, 1466590734, B00L2EBHXM
Categories: Ebooks

Product desciption

(Ebook) Using R For Introductory Statistics (Second Edition) by John Verzani ISBN 9781466590731, 1466590734, B00L2EBHXM

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 help new R users avoid as many pitfalls as possible. The 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, Using R, 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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