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Plot class allocation (for P_r = 2 only)

Source: R/plotting.R
plot_class_allocation.Rd

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

[matrix(nrow = P_r, ncol = N)]
The matrix of the decider-specific coefficient vectors.

z

[numeric(N)]
The decider class allocations.

b

[matrix(nrow = P_r, ncol = C)]
The matrix of class means as columns.

Omega

[matrix(nrow = P_r * P_r, ncol = C)]
The matrix of vectorized class covariance matrices as columns.

...

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.