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The Book of R (A First Course in Programming and Statistics)

List Price: $59.99
SKU:
9781593276515
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  • Product Details

    Author:
    Tilman M. Davies
    Format:
    Paperback
    Pages:
    832
    Publisher:
    No Starch Press (July 16, 2016)
    Language:
    English
    ISBN-13:
    9781593276515
    ISBN-10:
    1593276516
    Weight:
    49.6oz
    Dimensions:
    7.06" x 9.31" x 1.69"
    Case Pack:
    10
    File:
    RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260705T122703_156890399-20260705.xml
    Folder:
    RandomHouse
    List Price:
    $59.99
    As low as:
    $46.19
    Publisher Identifier:
    P-RH
    Discount Code:
    A
    QuickShip:
    Yes
    Audience:
    General/trade
    Country of Origin:
    China
    Pub Discount:
    65
    Imprint:
    No Starch Press
  • Overview

    The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis.

    You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package.

    Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn:
    –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops
    –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R
    –How to access R’s thousands of functions, libraries, and data sets
    –How to draw valid and useful conclusions from your data
    –How to create publication-quality graphics of your results

    Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.