Goodness of fit test for grouped data.
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g |
A vector with the group points, either in radians or in degrees. |
ni |
The frequency of each or group class. |
m |
The mean direction in radians or in degrees. |
k |
The concentration parameter, κ. |
dist |
The distribution to be tested, it can be either "vm" or "uniform". |
rads |
If the data are in radians, this should be TRUE and FALSE otherwise. |
R |
The number of bootstrap simulations to perform, set to 999 by default. |
ncores |
The number of cores to use. |
When you have grouped data, you can test whether the data come from the von Mises-Fisher distribution or from a uniform distribution.
A list including:
info |
A vector with two elements, the test statistic value and the bootstrap p-value. |
runtime |
The runtime of the procedure. |
Michail Tsagris
R implementation and documentation: Michail Tsagris <mtsagris@yahoo.gr> and Giorgos Athineou <athineou@csd.uoc.gr>
Arthur Pewsey, Markus Neuhauser, and Graeme D. Ruxton (2013). Circular Statistics in R.
pvm, circ.summary, rvonmises
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Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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