Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
EUR 159,96
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Añadir al carritoHardcover. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Idioma: Inglés
Publicado por Elsevier Science Ltd 2014-12-01, 2014
ISBN 10: 0444634312 ISBN 13: 9780444634313
Librería: Chiron Media, Wallingford, Reino Unido
EUR 175,65
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Añadir al carritoHardcover. Condición: New.
EUR 197,75
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Añadir al carritoCondición: New. pp. 412.
EUR 213,24
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Añadir al carritoCondición: New. pp. 412 1st Edition.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 200,38
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 412 pages. 9.00x6.25x1.00 inches. In Stock.
EUR 196,58
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Añadir al carritoCartonato. Condición: fine. Oxford, 2014; hardback, cm 15,5x23. Libro.
EUR 220,29
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Añadir al carritoCondición: New. pp. 412.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 408,80
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Añadir al carritoHardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por Elsevier Science Nov 2014, 2014
ISBN 10: 0444634312 ISBN 13: 9780444634313
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 150,00
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available on the internet. It offers a large number of statistical and numerical methods and graphical tools and visualization of extraordinarily high quality. R was recently ranked in 14th place by the Transparent Language Popularity Index and 6th as a scripting language, after PHP, Python, and Perl. The book is designed so that it can be used right away by novices while appealing to experienced users as well. Each article begins with a data example that can be downloaded directly from the R website. Data analysis questions are articulated following the presentation of the data. The necessary R commands are spelled out and executed and the output is presented and discussed. Other examples of data sets with a different flavor and different set of commands but following the theme of the article are presented as well. Each chapter predents a hands-on-experience. R has superb graphical outlays and the book brings out the essentials in this arena. The end user can benefit immensely by applying the graphics to enhance research findings. The core statistical methodologies such as regression, survival analysis, and discrete data are all covered. 412 pp. Englisch.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 172,70
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 156,09
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available on the internet. It offers a large number of statistical and numerical methods and graphical tools and visualization of extraordinarily high quality. R was recently ranked in 14th place by the Transparent Language Popularity Index and 6th as a scripting language, after PHP, Python, and Perl. The book is designed so that it can be used right away by novices while appealing to experienced users as well. Each article begins with a data example that can be downloaded directly from the R website. Data analysis questions are articulated following the presentation of the data. The necessary R commands are spelled out and executed and the output is presented and discussed. Other examples of data sets with a different flavor and different set of commands but following the theme of the article are presented as well. Each chapter predents a hands-on-experience. R has superb graphical outlays and the book brings out the essentials in this arena. The end user can benefit immensely by applying the graphics to enhance research findings. The core statistical methodologies such as regression, survival analysis, and discrete data are all covered.