R in Action: Data Analysis and Graphics with R

Kabacoff, Robert I.

ISBN 10: 1935182390 / ISBN 13: 9781935182399

Published by Manning, 2011

About this Item

Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Seller Inventory # M01935182390-G

Bibliographic Details

• Title: R in Action: Data Analysis and Graphics with R
• Publisher: Manning
• Publication Date: 2011
• Language: English
• ISBN 10: 1935182390
• ISBN 13: 9781935182399
• Binding: Soft cover
• Condition: good

About this title

Synopsis

HIGHLIGHT

A practical guide to the use of R for statistical analysis and graphing.

DESCRIPTION

The ability to interpret and act on the massive amounts of information

locked in web and enterprise systems is critical to success in the

modern business economy. R, a free software environment for

statistical computing and graphics, is a comprehensive package that

empowers developers and analysts to capture, process, and respond

intelligently to statistical information.

R in Action is the first book to present both the R system and the use

cases that make it such a compelling package for business developers.

The book begins by introducing the R language, and then moves on to

various examples illustrating R's features. Coverage includes data

mining methodologies, approaches to messy data, R’s extensive

graphical environment, useful add-on modules, and how to interface R

with other software platforms and data management systems.

KEY POINTS

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• In-depth coverage of the R environment

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• Dozens of practical examples

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• Author Rob Kabacoff has years of hands-on experience

About the Author

Dr. Robert Kabacoff

has more than 20 years of experience providing

research and statistical consultation to organizations in health care, financial

services, manufacturing, behavioral sciences, government, and academia.

He is a former professor of psychology at Nova Southeastern University in

Florida, where he taught graduate courses in quantitative methods and

statistical programming. For the past two years, he has managed Quick-R, a

popuar R tutorial website.