Learning R - by Richard Cotton (Paperback)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br><p>Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you'll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.</p><p>The second half of <i>Learning R</i> shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what you've learned, and concludes with exercises, most of which involve writing R code.</p><ul><li>Write a simple R program, and discover what the language can do</li><li>Use data types such as vectors, arrays, lists, data frames, and strings</li><li>Execute code conditionally or repeatedly with branches and loops</li><li>Apply R add-on packages, and package your own work for others</li><li>Learn how to clean data you import from a variety of sources</li><li>Understand data through visualization and summary statistics</li><li>Use statistical models to pass quantitative judgments about data and make predictions</li><li>Learn what to do when things go wrong while writing data analysis code</li></ul><p/><br></br><p><b> About the Author </b></p></br></br><p>Richie is a data scientist with a background in chemical health and safety, and has worked extensively on tools to give non-technical users access to statistical models. He is the author of the R packages assertive for checking the state of your variables and sig to make sure your functions have a sensible API. He runs The Damned Liars statistics consultancy.</p>
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