Data analysis and graphics using R: an example-based approach

Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Beteilige Person: Maindonald, J. H. 1937-
Weitere beteiligte Personen: Braun, John 1963-
Format: E-Book
Sprache:Englisch
Veröffentlicht: Cambridge Cambridge University Press 2010
Ausgabe:Third edition.
Schriftenreihe:Cambridge series on statistical and probabilistic mathematics 10
Links:https://doi.org/10.1017/CBO9781139194648
Zusammenfassung:Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practising statisticians. It is both for learning and for reference. This third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests.
Umfang:1 Online-Ressource (xxvi, 525 Seiten)
ISBN:9781139194648