The R book / Michael J Crawley
By: Crawley, Michael J
Material type: 
TextLanguage: English Publisher: Chichester, West Sussex, UK : Wiley, 2013Description: xxiv, 1051 p. : ill. ; 25 cmISBN: 9780470973929Subject(s): R (Computer program language) | Mathematical statistics -- Data processingDDC classification: 519.502855133 Online resources: Ebook Fulltext | Ebook Fulltext | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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EWU Library E-book | Non-fiction | 519.502855133 CRR 2013 (Browse shelf) | Not for loan | ||||
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| 519.50285 MEA 2017 Applied statistics using stata / | 519.50285 PRB 2013 Big data analytics with R and Hadoop / | 519.50285 SOU 1987 Using Minitab with Statistics for business and economics : | 519.502855133 CRR 2013 The R book / | 519.502855133 CRS 2015 Statistics : | 519.502855133 CRS 2015 Statistics : | 519.502855133 HOH 2014 A handbook of statistical analyses using R / |
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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