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, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.

The second half of

Learning R

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 youâ??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

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