A Handbook of Statistical Analyses Using S-PLUS
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Verkauft von Bahamut Media, Reading, Vereinigtes Königreich
AbeBooks-Verkäufer seit 15. August 2012
Gebraucht - Softcover
Zustand: Gebraucht - Gut
Anzahl: 1 verfügbar
In den Warenkorb legenVerkauft von Bahamut Media, Reading, Vereinigtes Königreich
AbeBooks-Verkäufer seit 15. August 2012
Zustand: Gebraucht - Gut
Anzahl: 1 verfügbar
In den Warenkorb legenThis book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
Bestandsnummer des Verkäufers 6545-9781584882800
Since the first edition of this book was published, S-PLUS has evolved markedly with new methods of analysis, new graphical procedures, and a convenient graphical user interface (GUI). Today, S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. Combining the command line language and GUI of S-PLUS now makes this book even more suitable for inexperienced users, students, and anyone without the time, patience, or background needed to wade through the many more advanced manuals and texts on the market.
The second edition of A Handbook of Statistical Analyses Using S-Plus has been completely revised to provide an outstanding introduction to the latest version of this powerful software system. Each chapter focuses on a particular statistical technique, applies it to one or more data sets, and shows how to generate the proposed analyses and graphics using S-PLUS. The author explains S-PLUS functions from both the Windows® and command-line perspectives and clearly demonstrates how to switch between the two.
This handbook provides the perfect vehicle for introducing the exciting possibilities S-PLUS, S-PLUS 2000, and S-PLUS 6 hold for data analysis. All of the data sets used in the text, along with script files giving the command language used in each chapter, are available for download from the Internet at http://www.iop.kcl.ac.uk/iop/Departments/BioComp/splus.shtml
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