| Description |
1 online resource (xiv, 183 pages) : illustrations |
| Contents |
Introduction -- Graphical representation of circular data -- Circular summary statistics -- Distribution theory and models for circular random variables -- Basic inference for a single sample -- Model fitting for a single sample -- Comparing two or more samples of circular data -- Correlation and regression |
| Summary |
"Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts, both from angular observations, and from daily or seasonal activity patterns. ... The natural way of representing such data graphically is as points located around the circumference of a circle, hence their name. Importantly, circular variables are periodic in nature, and the origin, or zero point, such as the beginning of a new year, is defined arbitrarily rather than necessarily emerging naturally from the system |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
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Print version record |
| Subject |
Circular data.
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R (Computer program language)
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Statistics -- Data processing.
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MATHEMATICS -- Applied.
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MATHEMATICS -- Probability & Statistics -- General.
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Circular data
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R (Computer program language)
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Statistics -- Data processing
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Mathematics.
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| Form |
Electronic book
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| Author |
Neuhäuser, Markus.
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Ruxton, Graeme D.
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| ISBN |
1299833004 |
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9781299833005 |
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9780191650765 |
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0191650765 |
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0191650773 |
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9780191650772 |
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