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:: Volume 19, Issue 2 (2-2015) ::
Andishe 2015, 19(2): 51-62 Back to browse issues page
Introduction to circular data
Shima Hajizadeh * , Majid Sarmad
Abstract:   (5978 Views)

In many diverse scientific fields, the measurements are directions. For instance, a biologist may be measuring the
direction of flight of a bird or the orientation of an animal. A series of such observations is called ”directional
data”. Since a direction has no magnitude, these can be conveniently represented as points on the circumference of
a unit circle centered at the origin or as unit vectors connecting the origin to these points. Because of this circular
representation, such observations are also called circular data. In this paper, circular data will be introduced at first
and then it is explained how to calculate the mean direction, dispersion and higher moments. The solutions to many
directional data problems are often not obtainable in simple closed analytical forms. Therefore, computer softwares
is essential to use these methods. At the end of this paper, the CircStat’s package has been used to analyze data sets
in R and Matlab softwares.

Keywords: Circular data, Mean Direction, Circular Distance, Matlab, R.
Full-Text [PDF 570 kb]   (4528 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2014/03/25 | Accepted: 2015/04/21 | Published: 2016/01/25
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hajizadeh S, sarmad M. Introduction to circular data. Andishe 2015; 19 (2) :51-62
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Volume 19, Issue 2 (2-2015) Back to browse issues page
مجله اندیشه آماری Andishe _ye Amari
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