000			01493 a2200193 4500
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008			251011b |||||||| |||| 00| 0 eng d
020			_a9780387790534
082			_a519.5 _bDalI
100			_aDalgaard, Peter
245			_aIntroductory Statistical with R / _cPeter Daalgaard
250			_a2nd ed.
260			_bSpringer : _aNew York , _c©2008.
300			_axvi,363p.
440			_aStatistics and Computing :
520			_aThis book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
650			_aStatistical Mathematics
942			_cBK
999			_c6646 _d6646