von Mises Quantile-Quantile Plot — vm

Produces a Q-Q plot of the data against a specified von Mises distribution to graphically assess the goodness of fit of the model.

Usage

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",
  col = "#B63679FF",
  add_line = TRUE,
  ...
)

Arguments

x: numeric. Angles in degrees
w: numeric. optional weightings for x to estimate mean and kappa.
axial: Logical. Whether data are uniaxial (axial=FALSE)
mean: numeric. Circular mean of the von Mises distribution. If NULL, it will be estimated from x.
kappa: numeric. Concentration parameter of the von Mises distribution. If NULL, it will be estimated from x.
xlab, ylab, main: plot labels.
col: color for the dots.
add_line: logical. Whether to connect the points by straight lines?
...: graphical parameters

Value

plot

Examples

# von Mises distribution
x_vm <- rvm(100, mean = 0, kappa = 4)
vm_qqplot(x_vm, axial = FALSE, pch = 20)


# uniform distribution
x_unif <- runif(100, 0, 360)
vm_qqplot(x_unif, axial = FALSE, pch = 20)