Journal
JOURNAL OF EXPERIMENTAL BIOLOGY
Volume 220, Issue 21, Pages 3878-3882Publisher
COMPANY BIOLOGISTS LTD
DOI: 10.1242/jeb.167056
Keywords
Circular statistics; Unimodal; Bimodal; von Mises mdistribution; Rayleigh test
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Funding
- Air Force Office of Scientific Research [FA9550-14-1-0208]
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In studies of animal orientation, data are often represented as directions that can be analyzed using circular statistical methods. Although several circular statistical tests exist to detect the presence of a mean direction, likelihood-based approaches may offer advantages in hypothesis testing - especially when data are multimodal. Unfortunately, likelihood-based inference in animal orientation remains rare. Here, we discuss some of the assumptions and limitations of common circular tests and report a new R package called CircMLE to implement the maximum likelihood analysis of circular data. We illustrate the use of this package on both simulated datasets and an empirical example dataset in Chinook salmon (Oncorhynchus tshawytscha). Our software provides a convenient interface that facilitates the use of model-based approaches in animal orientation studies.
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