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Using R for Introductory Statistics, Second Edition


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Title Book: Using R for Introductory Statistics, Second Edition
Author : John Verzani
ISBN 10: 1466590734
ISBN 13: 9781466590731
Publisher : CRC Press
Category :
Languages :
Pages :
File Type : PDF EPUB DOCX TEXT
File Size : 52,9 Mb
Total Download : 622
Total Read : 67
Uploaded: Wednesday, 16-08-2017 New
Status: AVAILABLE Last checked: 29 Minutes ago!

Rating: 4.6/5 from 1570 votes.


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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