R in action : data analysis and graphics with R / Robert Kabacoff.

Format:

Book

Author/Creator:

Kabacoff, Robert, author.

Language:

English

Subjects (All):

R (Computer program language)--Data processing.

R (Computer program language).

Statistics--Data processing.

Statistics.

Graphic methods.

Physical Description:

1 online resource (xxii, 450 p.) : ill.

Edition:

1st edition

Other Title:

Data analysis and graphics with R

Place of Publication:

[Place of publication not identified] Manning 2011.

Language Note:

English

System Details:

text file

Summary:

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. 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

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references (p. 434-437) and index.

OCLC:

793912720