Erschienen: 15.09.2013 Abbildung von Richard Cotton | Learning R | 2013

2013. Taschenbuch. 396 S. Softcover

O'Reilly. ISBN 978-1-4493-5710-8

In englischer Sprache


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, you’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 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 d

* Use data types such as vectors, arrays, lists, data frames, and string

* Execute code conditionally or repeatedly with branches and loop

* Apply R add-on packages, and package your own work for other

* Learn how to clean data you import from a variety of source

* Understand data through visualization and summary statistic

* Use statistical models to pass quantitative judgments about data and make prediction

* Learn what to do when things go wrong while writing data analysis code


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