Gebraucht - Sehr gut SG - Leichter Knick, ungelesenes M�ngelexemplar, Versand B�chersendung - 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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Detalles bibliogr�ficos

T�tulo: R in a Nutshell : A Desktop Quick Reference
Editor: O'reilly Media
Fecha de publicaci�n: 2010
Idioma: Ingl�s
ISBN 10: 059680170X
ISBN 13: 9780596801700
Encuadernaci�n: Taschenbuch
Estado: Sehr gut

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Sinopsis

Why learn R? Because it's rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.

The author introduces you to the R environment, including the R graphical user interface and console, and takes you through the fundamentals of the object-oriented R language. Then, through a variety of practical examples from medicine, business, and sports, you'll learn how you can use this remarkable tool to solve your own data analysis problems.

Understand the basics of the language, including the nature of R objects
Learn how to write R functions and build your own packages
Work with data through visualization, statistical analysis, and other methods
Explore the wealth of packages contributed by the R community
Become familiar with the lattice graphics package for high-level data visualization
Learn about bioinformatics packages provided by Bioconductor

"I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians."

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Joseph Adler has years of experience working with lots of popular data mining packages, including databases (including Oracle, PostgreSQL, and MS Access), statistical analysis tools (SAS, SPSS, S-Plus, and R), and data mining tools (SAS Enterprise Miner, Insightful Miner, Oracle Data Mining, Weka, and SPSS Clementine). He is currently leading a project at Verisign to pick a data mining package for enterprise deployment.

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