Introductory Statistics With R (Second Edition)

Introductory Statistics With R (Second Edition)

Peter Dalgaard
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R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development. This 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. A supplementary R package can be downloaded and contains the data sets.

The statistical methodology 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 six chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, survival analysis, Poisson regression, and nonlinear regression.

In the second edition, the text and code have been updated to R version 2.6.2. The last two methodological chapters are new, as is a chapter on advanced data handling. The introductory chapter has been extended and reorganized as two chapters. Exercises have been revised and answers are now provided in an Appendix.

Jahr:
2008
Auflage:
2nd Edition
Verlag:
Springer-Verlag New York
Sprache:
english
Seiten:
364
ISBN 10:
0387790535
ISBN 13:
9780387790534
ISBN:
B006ZTRMEW
Serien:
Statistics and Computing Series
Datei:
PDF, 5.08 MB
IPFS:
CID , CID Blake2b
english, 2008
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