## Gardener, Mark

# Beginning R: The Statistical Programming Language

**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.

**Keywords:** Programming & Software Development, learn R, books about R, learn to use R, working with R, how to use R, R instruction, statistical programming languages, visualization, visualize data, data visualization, learn statistical programming, R, tools for statistical programming, books on statistical programming languages

- Author(s)
- Gardener, Mark
- Publisher
- John Wiley and Sons, Inc.
- Publication year
- 2012
- Language
- en
- Edition
- 1
- Page amount
- 432 pages
- Category
- Information Technology, Telecommunications
- Format
- Ebook
- eISBN (ePUB)
- 9781118239377
- Printed ISBN
- 9781118164303