Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching New users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone New to statistical programming and modelling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained Chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most.Features Updated with New Chapters on the caret package, network analysis, and ShinyNew coverage of Broke, Plotly, json libraries, dplyr, tidyr, tests, reading Excel data package, and morePacked with hands-on practice opportunities and realistic, downloadable code examplesBy an author with unsurpassed experience teaching statistical programming and modelling to novicesFor every potential R user: programmers, data scientists, DBAs, marketers, quants, scientists, policymakers, and many others.