Introductory Statistics with R:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2002
|
| Schriftenreihe: | Statistics and Computing
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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. Peter Dalgaard is associate professor at the Department of Biostatistics at the University of Copenhagen and has extensive experience in teaching within the PhD curriculum at the Faculty of Health Sciences. He has been a member of the R Core Team since 1997 |
| Beschreibung: | 1 Online-Ressource (XV, 267 p) |
| ISBN: | 9780387226323 9780387954752 |
| ISSN: | 1431-8784 |
| DOI: | 10.1007/b97671 |
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Datensatz im Suchindex
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| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/b97671 |
| format | Electronic eBook |
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| isbn | 9780387226323 9780387954752 |
| issn | 1431-8784 |
| language | English |
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| spelling | Dalgaard, Peter Verfasser aut Introductory Statistics with R by Peter Dalgaard New York, NY Springer New York 2002 1 Online-Ressource (XV, 267 p) txt rdacontent c rdamedia cr rdacarrier Statistics and Computing 1431-8784 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. Peter Dalgaard is associate professor at the Department of Biostatistics at the University of Copenhagen and has extensive experience in teaching within the PhD curriculum at the Faculty of Health Sciences. He has been a member of the R Core Team since 1997 Statistics Bioinformatics Biology / Data processing Mathematical statistics Statistics and Computing/Statistics Programs Computer Appl. in Life Sciences Datenverarbeitung Statistik R Programm (DE-588)4705956-4 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s R Programm (DE-588)4705956-4 s 1\p DE-604 https://doi.org/10.1007/b97671 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Dalgaard, Peter Introductory Statistics with R Statistics Bioinformatics Biology / Data processing Mathematical statistics Statistics and Computing/Statistics Programs Computer Appl. in Life Sciences Datenverarbeitung Statistik R Programm (DE-588)4705956-4 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4056995-0 |
| title | Introductory Statistics with R |
| title_auth | Introductory Statistics with R |
| title_exact_search | Introductory Statistics with R |
| title_full | Introductory Statistics with R by Peter Dalgaard |
| title_fullStr | Introductory Statistics with R by Peter Dalgaard |
| title_full_unstemmed | Introductory Statistics with R by Peter Dalgaard |
| title_short | Introductory Statistics with R |
| title_sort | introductory statistics with r |
| topic | Statistics Bioinformatics Biology / Data processing Mathematical statistics Statistics and Computing/Statistics Programs Computer Appl. in Life Sciences Datenverarbeitung Statistik R Programm (DE-588)4705956-4 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Statistics Bioinformatics Biology / Data processing Mathematical statistics Statistics and Computing/Statistics Programs Computer Appl. in Life Sciences Datenverarbeitung Statistik R Programm |
| url | https://doi.org/10.1007/b97671 |
| work_keys_str_mv | AT dalgaardpeter introductorystatisticswithr |