000			01667nam a2200193Ia 4500
999			_c4460 _d4460
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008			160802s9999 xx 000 0 und d
020			_a9780470973929
041			_aeng
082			_a519.502855133 _bCRA-R
100			_aCrawley, Michael J. _936810
245			_aR book / _cby Michael J.
260			_bJohn Wiley & Sons, _c2013. _aUnited Kingdom:
300			_axxiv, 1051 p.
505			_a1. 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.
520			_a "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.
650			_aMathematical statistics _936811
942			_cBK