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.
"Ein absolutes "Muss". Klar gegliedert und anhand verständlicher Beispiele wird R und seine Funktionalität erklärt.Geeignet sowohl als Nachschlagwerk, als auch als Lernunterlage um sich R anzueignen. Dieses Buch wird ganz sicher den Grundstein jeder R Anwender (Anfänger und Fortgeschrittene) Bibliothek bilden." - PHP-Nuke.de, August 2010
Lesen Sie die ausführliche Rezension unter: php-nuke.de/index.php?option=com_content&view=article&id=16&Itemid=9
"[Joseph] Adler (and O'Reilly) have succeeded with this first R title which can serve simultaneously as a reference manual kept near one's workstation, an occasional refresher on some topics or even a first introduction for some readers. The range in examples is excellent, and the support via the corresponding package is to be commended. R in a Nutshell is a very useful resource for new and experienced R users alike." - jstatsoft.org, April 2011 Lesen Sie die ausführliche Rezension unter: jstatsoft.org/v40/b01/paper