Previous edition: published as by Paul Teetor. 2011. Includes bibliographical references and index.
Contents:
Getting started and getting help -- Some basics -- Navigating the software -- Input and output -- Data structures -- Data transformations -- Useful tricks -- Beyond basic numerics and statistics -- Time series analysis -- Simple programming -- R markdown and publishing.
Summary:
"Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an intermediate user, this book will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process." -- Provided by publisher.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.