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.
- ISBN10 1280684631
- ISBN13 9781280684630
- Publish Date 10 October 2012 (first published 22 May 2012)
- Publish Status Active
- Out of Print 17 February 2015
- Publish Country US
- Publisher John Wiley & Sons Inc
- Imprint Wrox Press
- Format eBook
- Language English