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R in a nutshell

By: Adler, Joseph.
Material type: materialTypeLabelBookPublisher: Sebastopol, CA : O'Reilly, ©2010Edition: 2nd ed.Description: xx, 611 p. : ill. ; 23 cm.ISBN: 9789350239209.Subject(s): R (Computer program language) | Mathematical statistics -- Data processingIssued also in electronic format on the Internet through Safari Books Online.
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.
Summary: 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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Mathematics REF 519.502 ADL-R (Browse shelf) Not For Loan 004606
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Mathematics 519.502 ADL-R (Browse shelf) Available 004607
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Mathematics 519.502 ADL-R (Browse shelf) Available 001253
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"A desktop quick reference"--Cover.

"December 2009: first edition"--T.p. verso.

Includes bibliographical references (p. 591-592) and index.

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.

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.

Issued also in electronic format on the Internet through Safari Books Online.

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