R in Action
Data Analysis and Graphics with R
Seiten
2011
Manning Publications (Verlag)
978-1-935182-39-9 (ISBN)
Manning Publications (Verlag)
978-1-935182-39-9 (ISBN)
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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
F • In-depth coverage of the R environment
F • Dozens of practical examples
F • Author Rob Kabacoff has years of hands-on experience
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
F • In-depth coverage of the R environment
F • Dozens of practical examples
F • Author Rob Kabacoff has years of hands-on experience
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.
Erscheint lt. Verlag | 1.9.2011 |
---|---|
Verlagsort | New York |
Sprache | englisch |
Maße | 188 x 234 mm |
Gewicht | 809 g |
Themenwelt | Mathematik / Informatik ► Informatik |
Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra | |
ISBN-10 | 1-935182-39-0 / 1935182390 |
ISBN-13 | 978-1-935182-39-9 / 9781935182399 |
Zustand | Neuware |
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