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The R book / Michael J Crawley

By: Crawley, Michael J.
Material type: TextTextPublisher: Chichester, West Sussex, UK : Wiley, 2013Description: xxiv, 1051 p. : ill. ; 25 cm.ISBN: 9780470973929.Subject(s): R (Computer program language) | Mathematical statistics -- Data processingDDC classification: 519.502855133 Online resources: Ebook Fulltext | Ebook Fulltext
Contents:
Table of contents Preface -- 1. Getting Started -- 2. Essentials of the R Language -- 3. Data Input -- 4. Dataframes -- 5. Graphics -- 6 Tables -- 7. Mathematics -- 8. Classical Tests -- 9. Statistical Modelling -- 10. Regression -- 11. Analysis of Variance -- 12. Analysis of Covariance -- 13. Generalized Linear Models -- 14. Count Data -- 15. Count Data in Tables -- 16. Proportion Data -- 17. Binary Response Variables -- 18. Generalized Additive Models -- 19. Mixed-Effects Models -- 20. Non-linear Regression -- 21. Meta-analysis -- 22. Bayesian statistics -- 23. Tree Models -- 24. Time Series Analysis -- 25. Multivariate Statistics -- 26. Spatial Statistics -- 27. Survival Analysis -- 28. Simulation Models -- 29. Changing the Look of Graphics.
Summary: "Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research.This
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book EWU Library
E-book
Non-fiction 519.502855133 CRR 2013 (Browse shelf) Not for loan
Text Text EWU Library
Reserve Section
Non-fiction 519.502855133 CRR 2013 (Browse shelf) C-1 Not For Loan 27149
Text Text EWU Library
Circulation Section
Non-fiction 519.502855133 CRR 2013 (Browse shelf) C-2 Available 27150
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Includes bibliographical references and index.

Table of contents Preface --
1. Getting Started --
2. Essentials of the R Language --
3. Data Input --
4. Dataframes --
5. Graphics --
6 Tables --
7. Mathematics --
8. Classical Tests --
9. Statistical Modelling --
10. Regression --
11. Analysis of Variance --
12. Analysis of Covariance --
13. Generalized Linear Models --
14. Count Data --
15. Count Data in Tables --
16. Proportion Data --
17. Binary Response Variables --
18. Generalized Additive Models --
19. Mixed-Effects Models --
20. Non-linear Regression --
21. Meta-analysis --
22. Bayesian statistics --
23. Tree Models --
24. Time Series Analysis --
25. Multivariate Statistics --
26. Spatial Statistics --
27. Survival Analysis --
28. Simulation Models --
29. Changing the Look of Graphics.

"Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research.This

Applied Statistics

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