Learn how to perform data analysis with the Rlanguage and software environment, even if you have little or no programmingexperience. With the tutorials in this hands-on guide, you’ll learn how to usethe essential R tools you need to know to analyze data, including data typesand programming concepts.
The second half of Learning R shows you real dataanalysis in action by covering everything from importing data to publishingyour 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.
Write a simple R program, and discover what the language can do
Use data types such as vectors, arrays, lists, data frames, and strings
Execute code conditionally or repeatedly with branches and loops
Apply R add-on packages, and package your own work for others
Learn how to clean data you import from a variety of sources
Understand data through visualization and summary statistics
Use statistical models to pass quantitative judgments about data and make predictions
Learn what to do when things go wrong while writing data analysis code
