R in a nutshell /

Saved in:
Bibliographic Details
Author / Creator:Adler, Joseph, M.Eng.
Edition:1st ed.
Imprint:Sebastopol, CA : O'Reilly, c2010.
Description:xx, 611 p. : ill. ; 23 cm.
Language:English
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/7929787
Hidden Bibliographic Details
ISBN:9780596801700 (pbk.)
059680170X (pbk.)
Notes:"A desktop quick reference"--Cover.
"December 2009: first edition"--T.p. verso.
Includes bibliographical references (p. 591-592) and index.
Issued also in electronic format on the Internet through Safari Books Online.
Summary:Presents a guide to the R computer language, covering such topics as the user interface, packages, syntax, objects, functions, object-oriented programming, data sets, lattice graphics, regression models, and bioconductor.
Description
Summary:

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."

Item Description:"A desktop quick reference"--Cover.
"December 2009: first edition"--T.p. verso.
Physical Description:xx, 611 p. : ill. ; 23 cm.
Bibliography:Includes bibliographical references (p. 591-592) and index.
ISBN:9780596801700 (pbk.)
059680170X (pbk.)