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Title details for Beginning R by Mark Gardener - Wait list

Beginning R

by Mark Gardener
ebook
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Conquer the complexities of this open source statistical language

R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming.

  • R, the open source statistical language increasingly used to handle statistics and produces publication-quality graphs, is notoriously complex
  • This book makes R easier to understand through the use of simple statistical examples, teaching the necessary elements in the context in which R is actually used
  • Covers getting started with R and using it for simple summary statistics, hypothesis testing, and graphs
  • Shows how to use R for formula notation, complex statistics, manipulating data, extracting components, and regression
  • Provides beginning programming instruction for those who want to write their own scripts

    • Beginning R offers anyone who needs to perform statistical analysis the information necessary to use R with confidence.

    Expand title description text
    Publisher: Wiley

    OverDrive Read

    • ISBN: 9781118239377
    • Release date: May 22, 2012

    EPUB ebook

    • ISBN: 9781118239377
    • File size: 7974 KB
    • Release date: May 22, 2012

    Formats

    OverDrive Read
    EPUB ebook

    subjects

    Computer Technology Nonfiction

    Languages

    English

    Conquer the complexities of this open source statistical language

    R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming.

  • R, the open source statistical language increasingly used to handle statistics and produces publication-quality graphs, is notoriously complex
  • This book makes R easier to understand through the use of simple statistical examples, teaching the necessary elements in the context in which R is actually used
  • Covers getting started with R and using it for simple summary statistics, hypothesis testing, and graphs
  • Shows how to use R for formula notation, complex statistics, manipulating data, extracting components, and regression
  • Provides beginning programming instruction for those who want to write their own scripts

    • Beginning R offers anyone who needs to perform statistical analysis the information necessary to use R with confidence.

    Expand title description text
    Computer Technology Nonfiction