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<p/><br></br><p><b> Book Synopsis </b></p></br></br><b>Understanding the world of R programming and analysis has never been easier</b> <p>Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to <i>Statistical Analysis with R For Dummies</i>, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses--as well as step-by-step guidance that shows you exactly how to implement them using R programming. <p>People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Plus, R enables a user to carry out complex statistical analyses by simply entering a few commands, making sophisticated analyses available and understandable to a wide audience. <i>Statistical Analysis with R For Dummies</i> enables you to perform these analyses and to fully understand their implications and results. <ul> <li>Gets you up to speed on the #1 analytics/data science software tool</li> <li>Demonstrates how to easily find, download, and use cutting-edge community-reviewed methods in statistics and predictive modeling</li> <li>Shows you how R offers intel from leading researchers in data science, free of charge</li> <li>Provides information on using R Studio to work with R</li> </ul> <p>Get ready to use R to crunch and analyze your data--the fast and easy way!<p/><br></br><p><b> From the Back Cover </b></p></br></br><ul> <li>Leverage R as a powerful statistical tool</li> <li>Test your hypotheses and draw conclusions</li> <li>Use R to give meaning to your data</li> </ul> <p><b>The easy, practical guide to R</b> <p>R is powerful, free software for statistical analysis--full of many tools and functions. R makes it possible to carry out complex statistical analyses by simply entering a few commands. This practical, step-by-step guide explains foundational statistical concepts and shows you how to implement them. You'll be able to perform analyses, understand their implications and results, and make them available to a wide audience. <p><b>Inside...</b> <ul> <li>How data is evaluated</li> <li>Installing and setting up R</li> <li>Using R for graphing</li> <li>All about variations and deviations</li> <li>How to draw conclusions</li> <li>Working with regression</li> <li>Using non-parametric statistics</li> <li>Probability and distributions</li> </ul><p/><br></br><p><b> About the Author </b></p></br></br><p><b>Joseph Schmuller, PhD, </b> has taught undergraduate and graduate statistics, and has 25 years of IT experience. The author of four editions of <i>Statistical Analysis with Excel For Dummies</i> and three editions of <i>Teach Yourself UML in 24 Hours</i> (SAMS), he has created online coursework for Lynda.com and is a former Editor in Chief of <i>PC AI</i> magazine. He is a Research Scholar at the University of North Florida.

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