Beginning R: The Statistical Programming Language cover image

Beginning R: The Statistical Programming Language

By Mark Gardener


<b>Conquer the complexities of this open source statistical language</b><p>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.<ul><li>R, the open source statistical language increasingly used to handle statistics and produces publication-quality graphs, is notoriously complex <li>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<li>Covers getting started with R and using it for simple summary statistics, hypothesis testing, and graphs<li>Shows how to use R for formula notation, complex statistics, manipulating data, extracting components, and regression<li>Provides beginning programming instruction for those who want to write their own scripts</ul><p><i>Beginning R</i> offers anyone who needs to perform statistical analysis the information necessary to use R with confidence.</p>

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