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Presents a guide to the R computer language, covering such topics as the user interface, packages, syntax, objects, functions, object-oriented programming, data sets, lattice graphics, regression models, and bioconductor.
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Previews available in: English
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Book Details
Table of Contents
1. Getting and installing R
2. The R user interface
3. A short R tutorial
4. R packages
5. An overview of the R language
6. R syntax
7. R objects
8. Symbols and environments
9. Functions
10. Object-oriented programming
11. High-performance R
12. Saving, loading, and editing data
13. Preparing data
14. Graphics
15. Lattice graphics
16. Analyzing data
17. Probability distributions
18. Statistical tests
19. Power tests
20. Regression models
21. Classification models
22. Machine learning
23. Time series analysis
24. Bioconductor
App. R reference.
Edition Notes
"A desktop quick reference"--Cover.
"December 2009: first edition"--T.p. verso.
Includes bibliographical references (p. 591-592) and index.
Issued also in electronic format on the Internet through Safari Books Online.
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December 25, 2022 | Edited by MARC Bot | import existing book |
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November 9, 2011 | Created by LC Bot | import new book |