Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics)

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9780521762939: Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics)

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 practicing 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.

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Book Description:

This third edition of the popular guide to using R reflects recent improvements to the R system, including major advances in graphical user interfaces and graphics packages. It emphasizes hands-on analysis, graphical display and interpretation of data. Ideal for researchers, students of applied statistics, and practising statisticians.

About the Author:

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.

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Descrizione libro CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2010. Hardback. Condizione libro: New. 3rd Revised edition. Language: English . Brand New Book. 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. Codice libro della libreria AAZ9780521762939

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Descrizione libro CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2010. Hardback. Condizione libro: New. 3rd Revised edition. Language: English . Brand New Book. 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. Codice libro della libreria AAZ9780521762939

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Descrizione libro Cambridge University Press. Hardback. Condizione libro: new. BRAND NEW, Data Analysis and Graphics Using R: An Example-Based Approach (3rd Revised edition), John Maindonald, W. John Braun, 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. Codice libro della libreria B9780521762939

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Descrizione libro Cambridge University Press, 2010. Hardcover. Condizione libro: New. Never used!. Codice libro della libreria 0521762936

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Descrizione libro Cambridge University Press, 2010. Condizione libro: New. Hands-on guide to the R system for data analysis for scientists, students and practising statisticians. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 549 pages, 150 b/w illus. 12 colour illus. 40 tables. BIC Classification: UFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 257 x 180 x 29. Weight in Grams: 1316. An Example-Based Approach. Series: Cambridge Series in Statistical and Probabilistic Mathematics. 552 pages, 150 b/w illus. 12 colour illus. 40 tables. Hands-on guide to the R system for data analysis for scientists, students and practising statisticians. Cateogry: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. BIC Classification: UFM. Dimension: 257 x 180 x 29. Weight: 1318. . 2010. 3rd Edition. Hardcover. . . . . . Codice libro della libreria V9780521762939

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