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Data Analysis and Graphics Using R: An Example-Based Approach - Couverture rigide

Livre 21 sur 46: Cambridge Series in Statistical and Probabilistic Mathematics

Maindonald, John; Braun, W. John

 
9780521762939: Data Analysis and Graphics Using R: An Example-Based Approach
Couverture rigide
ISBN 10 : 0521762936 ISBN 13 : 9780521762939
Editeur : Cambridge University Press, 2010

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos des auteurs

John Maindonald is Visiting Fellow at the Mathematical Sciences Institute at the Australian National University. He has collaborated extensively with scientists in a wide range of application areas, from medicine and public health to population genetics, machine learning, economic history, and forensic linguistics.

W. John Braun is Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario. He has collaborated with biostatisticians, biologists, psychologists, and most recently has become involved with a network of forestry researchers.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Cambridge University Press
Date d'édition
2010
Langue
anglais
ISBN 10 
0521762936
ISBN 13 
9780521762939
Reliure
Relié
Numéro d'édition
3
Nombre de pages
549
Coordonnées du fabricant
non disponible
Personne responsable
Avery
https://www.avery.fr/

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