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    R in Action

    Posted By: AlenMiler
    R in Action

    R in Action by Robert Kabacoff
    English | 27 Aug. 2011 | ISBN: 1935182390 | 472 Pages | EPUB/MOBI (True) | 17.09 MB

    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