Book Image

Statistical Analysis with R

By : John M. Quick
Book Image

Statistical Analysis with R

By: John M. Quick

Overview of this book

<p>R is a data analysis tool, graphical environment, and programming language. Without any prior experience in programming or statistical software, this book will help you quickly become a knowledgeable user of R. Now is the time to take control of your data and start producing superior statistical analysis with R.<br /><br />This book will take you on a journey as the strategist for an ancient Chinese kingdom. Along the way, you will learn how to use R to arrive at practical solutions and how to effectively communicate your results. Ultimately, the fate of the kingdom depends on your ability to make informed, data-driven decisions with R.<br /><br />You have unexpectedly been thrust into the role of lead strategist for the kingdom. After you install your predecessor's mysterious data analysis tool, you will begin to explore its fundamental elements. Next, you will use R to import and organize your data. Then, you will use functions and statistical analysis to arrive at potential courses of action. Subsequently, you will design your own functions to assess the practical impacts of your predictions. Lastly, you will focus on communicating your results through the use of charts, plots, graphs, and custom built visualizations. The fate of the kingdom is in your hands. Your rapid development as a master R strategist is the key to future success.</p>
Table of Contents (17 chapters)
Statistical Analysis with R Beginner's Guide
Credits
About the Author
About the Reviewers
Preface
Index

R's online resources


A wealth of online resources are available for R. These include search engines, websites, blogs, and online communities. Some of the most useful and informative online resources for learning about R will be discussed here.

Websites

A few valuable R websites are highlighted here.

The R Project for Statistical Computing

The official R website is the definitive source for R updates and documentation. It offers the most recent versions of R for each operating system. Also included are valuable documents, such as the R FAQ, CRAN mirror listing, and contributed packages glossary. The R Project for Statistical Computing can be found at:

http://www.r-project.org

Quick-R

Quick-R is an excellent resource for efficiently retrieving information on R topics, along with examples of how related techniques can be executed. It covers a wealth of subjects in R, including a wide range of statistical methods and graphics types. Its organized and aesthetic format makes it easy to locate...