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Learning Step by Step Function Guide by Cotton Richard (19 results)
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Learning R : A Step-By-Step Function Guide to Data Analysis
Published by O'Reilly Media, Incorporated, 2013
ISBN 10: 1449357105 ISBN 13: 9781449357108
Language: English
Condition: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
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Paperback. Condition: 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!
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Learning R: A Step-by-Step Function Guide to Data Analysis
Seller: Goodwill Industries of VSB, Oxnard, CA, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. The book is nice and 100% readable, but the book has visible wear which may include stains, scuffs, scratches, folded edges, sticker glue, torn on front page,highlighting, notes, and worn corners.
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Learning R: A Step-By-Step Function Guide to Data Analysis
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
US$ 5.45
Convert currencyUS$ 7.59 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Learning R: A Step-by-Step Function Guide to Data Analysis
Published by O'Reilly Media (edition 1), 2013
ISBN 10: 1449357105 ISBN 13: 9781449357108
Language: English
Paperback. Condition: Very Good. 1. 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.
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Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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paperback. Condition: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Learning R: A Step-By-Step Function Guide to Data Analysis
Published by O'Reilly Media, United States, Sebastopol, 2013
ISBN 10: 1449357105 ISBN 13: 9781449357108
Language: English
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
US$ 24.91
Convert currencyUS$ 7.59 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Fine. Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you'll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what you've learned, and concludes with exercises, most of which involve writing R code. Write a simple R program, and discover what the language can do Use data types such as vectors, arrays, lists, data frames, and strings Execute code conditionally or repeatedly with branches and loops Apply R add-on packages, and package your own work for others Learn how to clean data you import from a variety of sources Understand data through visualization and summary statistics Use statistical models to pass quantitative judgments about data and make predictions Learn what to do when things go wrong while writing data analysis code.
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Learning R: A Step-By-Step Function Guide to Data Analysis (Paperback or Softback)
Published by O'Reilly Media 9/26/2013, 2013
ISBN 10: 1449357105 ISBN 13: 9781449357108
Language: English
Paperback or Softback. Condition: New. Learning R: A Step-By-Step Function Guide to Data Analysis 1.43. Book.
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Condition: new.
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US$ 41.03
Convert currencyUS$ 3.99 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Condition: New. SUPER FAST SHIPPING.
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Condition: New.
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Paperback. Condition: new. New Copy. Customer Service Guaranteed.
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Learning R: A Step-by-Step Function Guide to Data Analysis
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 48.00
Convert currencyUS$ 16.24 shipping from United Kingdom to U.S.A.Quantity: 5 available
Add to basketCondition: New. In.
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US$ 15.57
Convert currencyUS$ 72.50 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketpaperback. Condition: Sehr gut. 396 Seiten; 9781449357108.2 Gewicht in Gramm: 1.
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Learning R : A Step-By-Step Function Guide to Data Analysis
Published by O'reilly Media Okt 2013, 2013
ISBN 10: 1449357105 ISBN 13: 9781449357108
Language: English
US$ 67.57
Convert currencyUS$ 74.82 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Neuware - Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you'll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what you've learned, and concludes with exercises, most of which involve writing R code. Write a simple R program, and discover what the language can do Use data types such as vectors, arrays, lists, data frames, and strings Execute code conditionally or repeatedly with branches and loops Apply R add-on packages, and package your own work for others Learn how to clean data you import from a variety of sources Understand data through visualization and summary statistics Use statistical models to pass quantitative judgments about data and make predictions Learn what to do when things go wrong while writing data analysis code.
