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"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"--Provided by publisher.
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Data analysis and graphics using R: an example-based approach
2010, Cambridge University Press
in English
- 3rd ed.
0521762936 9780521762939
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Includes bibliographical references and indexes.
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- Created January 21, 2010
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April 17, 2023 | Edited by ImportBot | import existing book |
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January 21, 2010 | Created by ImportBot | Imported from Library of Congress MARC record |