Description
Learn the best way to perform data analysis with the R language and software environment, although you have little or no programming experience. With the tutorials in this hands-on guide, you’ll learn to use the essential R tools you want 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 the whole thing from importing data to publishing your results. Every 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 again and again with branches and loops
- Apply R add-on packages, and package your own work for others
- Learn the best way to clean data you import from a lot 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 fallacious even as writing data analysis code