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Published by O'Reilly Media (edition 2), 2012
ISBN 10: 144931208X ISBN 13: 9781449312084
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Published by O'Reilly Media, Incorporated, 2010
ISBN 10: 059680170X ISBN 13: 9780596801700
Language: English
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Published by O'Reilly Media, Incorporated, 2012
ISBN 10: 144931208X ISBN 13: 9781449312084
Language: English
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Published by O'Reilly Media, Incorporated, 2012
ISBN 10: 144931208X ISBN 13: 9781449312084
Language: English
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Published by O'Reilly Media, Incorporated, 2010
ISBN 10: 059680170X ISBN 13: 9780596801700
Language: English
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Add to basketTaschenbuch. Condition: Sehr gut. Gebraucht - Sehr gut SG - Leichter Knick, ungelesenes Mängelexemplar, Versand Büchersendung - R in a Nutshell is the best way to learn R, a powerful open source tool for data visualization and statistical computing -- ideal as a replacement for statistical packages costing thousands of dollars. Practical and easy to read, the book provides a thorough overview of the language, along with a reference to the most commonly used features. You'll quickly discover why R has become increasingly popular for analyzing data sets of any size. Learn how to use R to solve complex, real-world statistical problems Explore R's superior graphical capabilities, which let you control and manipulate every detail of your graphs Take advantage of the large, robust library of contributed packages, including a vast number of statistical techniques and algorithms Learn how to run R on your desktop, from within Excel or on a shared server This is the first affordable, comprehensive reference book on R. Whether you analyze business data or conduct scientific research, R lets you perform statistical analysis in minutes that would take hours with Excel. R in a Nutshell shows you how.
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Published by O'reilly Media Nov 2012, 2012
ISBN 10: 144931208X ISBN 13: 9781449312084
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware - If you're considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You'll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports.Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop. Get started quickly with an R tutorial and hundreds of examples Explore R syntax, objects, and other language details Find thousands of user-contributed R packages online, including Bioconductor Learn how to use R to prepare data for analysis Visualize your data with R's graphics, lattice, and ggplot2 packages Use R to calculate statistical fests, fit models, and compute probability distributions Speed up intensive computations by writing parallel R programs for Hadoop Get a complete desktop reference to R.