Using R for Introductory Statistics (Chapman & Hall/CRC The R Series)

Verzani, John

ISBN 10: 1466590734 / ISBN 13: 9781466590731

Editore: Chapman and Hall/CRC, 2014

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Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included.

Codice articolo 3IIK3P005SQ3_ns

Dati bibliografici

• Titolo: Using R for Introductory Statistics (Chapman & Hall/CRC The R Series)
• Editore: Chapman and Hall/CRC
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 1466590734
• ISBN 13: 9781466590731
• Rilegatura: Rilegato
• Edizione: seconda edizione
• Condizione: acceptable

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

John Verzani