qvm(p, mean = 0, kappa, from = NULL, tol = .Machine$double.eps^(0.6), ...)
Value
dvm gives the density,
pvm gives the probability of the von Mises distribution function,
rvm generates random deviates (in degrees), and
qvm provides quantiles (in degrees).
Arguments
n
integer. Number of observations in degrees
mean
numeric. Mean angle in degrees
kappa
numeric. Concentration parameter in the range (0, Inf]
theta
numeric. Angular value in degrees
log
logical. If TRUE, probabilities p are given as log(p).
axial
logical. Whether the data are axial, i.e. \(\pi\)-periodical
(TRUE, the default) or directional, i.e. \(2 \pi\)-periodical (FALSE).
from
if NULL is set to \(\mu-\pi\). This is the value from
which the pvm and qvm are evaluated. in degrees.
tol
numeric. The precision in evaluating the distribution function or the quantile.
p
numeric. Vector of probabilities with values in \([0,1]\).