Leseprobe

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Leseprobe

Beginning R

Name: Beginning R
Author: Mark Gardener

The Statistical Programming Language

Mark Gardener

PDF

22,99 €

Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks

John Wiley & Sons

Naturwissenschaften, Medizin, Informatik, Technik / Programmiersprachen

Beschreibung

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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