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:
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
John Verzani
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
Hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_463769667
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Hardback. Condición: Good. 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. Nº de ref. del artículo: CIN1466590734G
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Librería: clickgoodwillbooks, Indianapolis, IN, Estados Unidos de America
Condición: good. 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. Nº de ref. del artículo: CSIV.1466590734.G
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Hardcover. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G1466590734I3N00
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Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
Hardcover. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G1466590734I4N00
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Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
Hardcover. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G1466590734I4N00
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Librería: Evergreen Goodwill, Seattle, WA, Estados Unidos de America
hardcover. Condición: Good. Nº de ref. del artículo: mon0000228800
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Librería: World of Books Inc, Montgomery, IL, Estados Unidos de America
Hardback. Condición: Good. 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. Nº de ref. del artículo: CIN1466590734G
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Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
Hardcover. Condición: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Nº de ref. del artículo: 1466590734-8-1
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Librería: Textbook Bookie, Little Rock, AR, Estados Unidos de America
Hardcover. Condición: Very Good. Book in Very Good condition. Nº de ref. del artículo: 9781466590731-very_good
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