Isbn: 9780521762939 - Data Analysis and Graphics Using R: an Example-based Approach: 10 (cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10) (29 results)

Hardback. Condition: Good. 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.…

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Hardcover. Condition: Like New. Third Edition. Hardback book in nearly new condition: firm and square with strong joints. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price.…

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Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 564 | Sprache: Englisch | Produktart: Bücher | 3rd edition. Hands-on guide for scientists, students and practising statisticians.

Condition: As New. Unread book in perfect condition.

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Condition: New. In English.

Hardback. Condition: New. 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.…

Condition: New. pp. xxvi + 525 3rd Edition.

Hardcover. Condition: Brand New. 3rd edition. 560 pages. 10.08x6.93x1.26 inches. In Stock.

Hardcover. Condition: gut. 2010. Data Analysis and Graphics Using R In englischer Sprache. pages.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Condition: 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. . . . . Books ship from the US and Ireland. …

Hardback. Condition: New. 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.…

Condition: 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. . . . . …

Hardcover. Condition: new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Condition: New. Print on Demand pp. xxvi + 525 162 Illus. (12 Col.).

Condition: New. PRINT ON DEMAND pp. xxvi + 525.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Idea.…

Buch. Condition: Neu. Data Analysis and Graphics Using R | John Maindonald | Buch | Gebunden | Englisch | 2010 | Cambridge University Press | EAN 9780521762939 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.