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Produces a Q-Q plot of the data against a specified von Mises distribution to graphically assess the goodness of fit of the model.
vm_qqplot( x, w = NULL, axial = TRUE, mean = NULL, kappa = NULL, xlab = "von Mises quantile function", ylab = "Empirical quantile function", main = "von Mises Q-Q Plot", ... )
plot
numeric. Angles in degrees
numeric. optional weightings for x to estimate mean and kappa.
x
mean
kappa
Logical. Whether data are uniaxial (axial=FALSE)
axial=FALSE
numeric. Circular mean of the von Mises distribution. If NULL, it will be estimated from x.
NULL
numeric. Concentration parameter of the von Mises distribution. If NULL, it will be estimated from x.
plot labels.
graphical parameters
x_vm <- rvm(100, mean = 0, kappa = 4) vm_qqplot(x_vm, axial = FALSE, pch = 20) x_unif <- runif(100, 0, 360) vm_qqplot(x_unif, axial = FALSE, pch = 20)
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