R in Action

R in Action

MIA KARTS BOOKS

R in Action
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    R in Action

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    Book Details

    Format
    Paperback
    Language
    English
    Category
    Computer Science
    Condition
    New
    ISBN-13
    9781935182399
    ISBN-10
    1935182390

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    Product description

    ISBN: 1935182390

    Author: Kabacoff, Dr. Robert I.

    Condition: New

    SummaryR 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 TechnologyR 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 BookR 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

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    R in Action

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