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Using R For Introductory Statistics Second Edition 2nd Edition John Verzani

  • SKU: BELL-5066962
Using R For Introductory Statistics Second Edition 2nd Edition John Verzani
$ 31.00 $ 45.00 (-31%)

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Using R For Introductory Statistics Second Edition 2nd Edition John Verzani instant download after payment.

Publisher: Chapman & Hall/CRC Press
File Extension: PDF
File size: 9.31 MB
Pages: 518
Author: John Verzani
ISBN: 9781466590731, 1466590734, B00L2EBHXM
Language: English
Year: 2014
Edition: 2nd Edition

Product desciption

Using R For Introductory Statistics Second Edition 2nd Edition John Verzani by John Verzani 9781466590731, 1466590734, B00L2EBHXM instant download after payment.

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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