Health Science Statistics using R and R Commander - Robin Beaumont

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Health Science Statistics using R and R Commander has been written for students, researchers and professionals who need a practical guide to the subject.

R is fast becoming the standard software for undertaking statistical analyses in the health sciences. It is a very powerful, open-source, package.  But it can appear daunting and complex to the novice user. 

This book provides step-by-step guidance to first help the reader understand the statistics and then to show how to run the appropriate statistical tests in R. The book focuses on the graphical user interface (GUI), R Commander, which helps make R more user-friendly for the uninitiated. However, throughout the book, the author demonstrates the R code behind R Commander and shows the reader how to program directly when required.

The book starts with several introductory chapters which demonstrate how to install and access R and R Commander correctly. It then builds from introductory statistics chapters (calculating a p-value) through to more complex areas (structural equation modelling, log linear regression).  Along the way, the author provides essential tips and advice to help you get to grips with both the subject and the software.

Each chapter begins with a thorough discussion of the statistical technique under discussion. Then, working through real-life data, the reader is shown how to do their own analysis using R Commander, followed by a demonstration of how to do this analysis in R directly. In the later chapters, the author even shows you how to write up your findings in the correct format.

Health Science Statistics using R and R Commander is accompanied by an array of web-based material including: additional online chapters;  discussion board, R code, Multiple Choice Questions (MCQs), learning outcomes, and links to other resources including websites, blogs and tutorials.

Health Science Statistics using R and R Commander is a comprehensive, hands-on introduction to the use of R in the health sciences for non-specialists.