Plot class allocation (for P_r = 2 only)

This function plots the allocation of decision-maker specific coefficient vectors beta given the allocation vector z, the class means b, and the class covariance matrices Omega.

Usage

plot_class_allocation(beta, z, b, Omega, ...)

Arguments

beta

The matrix of the decision-maker specific coefficient vectors of dimension P_r x N. Set to NA if P_r = 0.

z

The vector of the allocation variables of length N. Set to NA if P_r = 0.

b

The matrix of class means as columns of dimension P_r x C. Set to NA if P_r = 0.

Omega

The matrix of class covariance matrices as columns of dimension P_r*P_r x C. Set to NA if P_r = 0.

...

Optional visualization parameters:

• colors, a character vector of color specifications,

• perc, a numeric between 0 and 1 to draw the perc percentile ellipsoids for the underlying Gaussian distributions (perc = 0.95 per default),

• r, the current iteration number of the Gibbs sampler to be displayed in the legend,

• sleep, the number of seconds to pause after plotting.

Value

No return value. Draws a plot to the current device.

Details

Only applicable in the two-dimensional case, i.e. only if P_r = 2.