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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, Rs 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
Product Description
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, Rs 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
Summary
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, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R.
About the Technology
R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.
About the Book
R in Action is a language tutorial focused on practical problems. It presents useful statistics examples and includes elegant methods for handling messy, incomplete, and non-normal data that are difficult to analyze using traditional methods. And statistical analysis is only part of the story. You'll also master R's extensive graphical capabilities for exploring and presenting data visually.
Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
What's Inside
Practical data analysis, step by step
Interfacing R with other software
Using R to visualize data
Over 130 graphs
Eight reference appendixes
================================
Table of Contents
Part I Getting started
Introduction to R
Creating a dataset
Getting started with graphs
Basic data management
Advanced data management Part II Basic methods
Basic graphs
Basic statistics Part III Intermediate methods
Regression
Analysis of variance
Power analysis
Intermediate graphs
Re-sampling statistics and bootstrapping Part IV Advanced methods
Generalized linear models
Principal components and factor analysis
Advanced methods for missing data
Advanced graphics
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, Rs 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
Product Description
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, Rs 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
Summary
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, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R.
About the Technology
R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.
About the Book
R in Action is a language tutorial focused on practical problems. It presents useful statistics examples and includes elegant methods for handling messy, incomplete, and non-normal data that are difficult to analyze using traditional methods. And statistical analysis is only part of the story. You'll also master R's extensive graphical capabilities for exploring and presenting data visually.
Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
What's Inside
Practical data analysis, step by step
Interfacing R with other software
Using R to visualize data
Over 130 graphs
Eight reference appendixes
================================
Table of Contents
Part I Getting started
Introduction to R
Creating a dataset
Getting started with graphs
Basic data management
Advanced data management Part II Basic methods
Basic graphs
Basic statistics Part III Intermediate methods
Regression
Analysis of variance
Power analysis
Intermediate graphs
Re-sampling statistics and bootstrapping Part IV Advanced methods
Generalized linear models
Principal components and factor analysis
Advanced methods for missing data
Advanced graphics