The R book / Michael J Crawley

By: Crawley, Michael J Material type: Text

TextLanguage: English Publication details: Chichester, West Sussex, UK : Wiley, 2013. Description: 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

Contents:

TOC 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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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
E-Book	Dr. S. R. Lasker Library, EWU E-book	Non-fiction	519.502855133 CRR 2013 (Browse shelf(Opens below))		Not for loan
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	519.502855133 CRR 2013 (Browse shelf(Opens below))	C-1	Not For Loan	27149
Text	Dr. S. R. Lasker Library, EWU Circulation Section	Non-fiction	519.502855133 CRR 2013 (Browse shelf(Opens below))	C-2	Available	27150

Total holds: 0

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Previous	519.50285 KOD 2012 Data analysis using stata /	519.50285 MAC Computational statistics handbook with MATLAB /	519.50285 PRB 2013 Big data analytics with R and Hadoop /	519.502855133 CRR 2013 The R book /	519.502855133 CRS 2015 Statistics :	519.50285536 BEI 2013 Introduction to time series using Stata /	519.50285536 HEH 2007 A handbook of statistical analyses using Stata /	Next

Includes bibliographical references and index.

TOC 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

Saifun Momota

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