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Beginning R - The Statistical Programming Language

Name: Beginning R - The Statistical Programming Language
Brand: John Wiley & Sons Inc
SKU: 9781118164303
Price: 26.06 EUR
Availability: InStock

Автор: Mark Gardener

Език:

Корици: С меки корици

Издател: John Wiley & Sons Inc

Наличност: Външен склад

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26.06 € 50.97 лв

Conquer the complexities of this open source statistical language§R is fast becoming the de facto st...

Информация за книгата

Автор

Mark Gardener

Език

Английски език

Корици

Книга - С меки корици

Издадена

2012

страници

512

EAN

9781118164303

ISBN

111816430X

Enbook ID

01212136

Издател

John Wiley & Sons Inc

Теглоt

696

Размери

188 x 234 x 24

Пълно описание

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.

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