jnd2xyz | R Documentation |
Converts a coldist()
output into Cartesian coordinates that are
perceptually-corrected (i.e. noise-weighted Euclidean distances)
jnd2xyz(
coldistres,
center = TRUE,
rotate = TRUE,
rotcenter = c("mean", "achro"),
ref1 = "l",
ref2 = "u",
axis1 = c(1, 1, 0),
axis2 = c(0, 0, 1)
)
coldistres |
(required) the output from a |
center |
logical indicating if the data should be centered on its centroid
(defaults to |
rotate |
logical indicating if the data should be rotated (defaults to |
rotcenter |
should the vectors for rotation be centered in the achromatic center ("achro") or the data centroid ("mean", the default)? |
ref1 |
the cone to be used as a the first reference. May be |
ref2 |
the cone to be used as a the second reference. May be |
axis1 |
A vector of length 3 composed of 0's and 1's, with
1's representing the axes (x, y, z) to rotate around. Defaults to c(1, 1, 0), such
that the rotation aligns with the xy plane (only used if data has 2 or 3 dimensions).
Ignored if |
axis2 |
A vector of length 3 composed of 0's and 1's, with
1's representing the axes (x, y, z) to rotate around. Defaults to c(0, 0, 1), such
that the rotation aligns with the z axis (only used if data has 3 dimensions).
Ignored if |
Rafael Maia rm72@zips.uakron.edu
Pike, T.W. (2012). Preserving perceptual distances in chromaticity diagrams. Behavioral Ecology, 23, 723-728.
Maia, R., White, T. E., (2018) Comparing colors using visual models. Behavioral Ecology, ary017 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/beheco/ary017")}
# Load floral reflectance spectra
data(flowers)
# Estimate quantum catches visual phenotype of a Blue Tit
vis.flowers <- vismodel(flowers, visual = 'bluetit')
# Estimate noise-weighted colour distances between all flowers
cd.flowers <- coldist(vis.flowers)
# Convert points to Cartesian coordinates in which Euclidean distances are
# noise-weighted.
jnd2xyz(cd.flowers)
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