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It produces a few summary measures for circular data.
circ.summary(u, rads = FALSE, fast = FALSE, tol = 1e-07, plot = FALSE)A vector with circular data.
If the data are in rads, then this should be TRUE, otherwise FALSE.
A boolean variable to do a faster implementation.
The tolerance level to stop the Newton-Raphson algorithm for finding kappa.
If you want to see the data plotted on a cicrle make this TRUE.
If fast = FALSE a list including all the following. If fast = TRUE less items are returned.
The circular mean direction.
The 95% confidence interval for the circular mean direction.
The concentration parameter.
The mean resultant length.
The circular variance.
The circular standard deviation.
The log-likelihood of the fitted von Mises distribution.
It returns the circular mean, mean resultant length, variance, standard deviation and concentration parameter. So, basically it returns the estimated values of the parameters of the von Mises distribution.
Mardia, K. V. and Jupp, P. E. (2000). Directional statistics. Chicester: John Wiley & Sons.
# NOT RUN {
x <- rvonmises(50, 2.5, 15, rads = TRUE)
circ.summary(x, rads = TRUE, plot = TRUE)
# }
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