Categorical fly-visual model — categorical • pavo

Applies the categorical colour vision model of Troje (1993)

categorical(vismodeldata)

Arguments

vismodeldata: (required) quantum catch color data. Can be either the result from vismodel() or independently calculated data (in the form of a data frame with four columns named 'u' ,'s', 'm', 'l', representing a tetrachromatic viewer).

Object of class colspace consisting of the following columns:

R7p, R7y, R8p, R8y: the quantum catch data used to calculate the remaining variables.
x, y: cartesian coordinates in the categorical colour space.
r.vec: the r vector (saturation, distance from the center).
h.theta: angle theta (in radians), a continuous measure of stimulus hue.
category: fly-colour category. One of p-y-, p-y+, p+y-, p+y+.

Troje N. (1993). Spectral categories in the learning behaviour of blowflies. Zeitschrift fur Naturforschung C, 48, 96-96.

data(flowers)
vis.flowers <- vismodel(flowers, visual = "musca", achromatic = "md.r1")
cat.flowers <- colspace(vis.flowers, space = "categorical")