cocplot: Plot the colour opponent coding diagram

In pavo: Perceptual Analysis, Visualization and Organization of Spectral Colour Data

Plot the colour opponent coding diagram

Description

Produces a plot based on the colour opponent coding diagram of Backhaus (1991).

Usage

cocplot(
  cocdata,
  labels = TRUE,
  labels.cex = 0.9,
  tick.loc = c(-12, -9, -6, -3, 3, 6, 9, 12),
  achro = FALSE,
  achrosize = 0.8,
  achrocol = "grey",
  square = TRUE,
  ...
)

Arguments

cocdata	(required) a data frame, possibly a result from the colspace() or categorical() function, containing values for 'x' and 'y' coordinates as columns (labeled as such).
labels	logical. Should the name of each cone be printed next to the corresponding vertex?
labels.cex	size of the arrow labels.
tick.loc	a numeric vector specifying the location of tick marks on x & y axes.
achro	should a point be plotted at the origin (defaults to TRUE)?
achrosize	size of the point at the origin when achro = TRUE (defaults to 0.8).
achrocol	color of the point at the origin achro = TRUE (defaults to 'grey').
square	logical. Should the aspect ratio of the plot be held to 1:1? (defaults to TRUE).
...	additional graphical options. See par().

Author(s)

Thomas White [e-mail]

References

Backhaus W. (1991). Color opponent coding in the visual system of the honeybee. Vision Research, 31, 1381-1397.

Examples

data(flowers)
vis.flowers <- vismodel(flowers, visual = "apis", qcatch = "Ei", relative = FALSE, vonkries = TRUE)
coc.flowers <- colspace(vis.flowers, space = "coc")
plot(coc.flowers)

pavo documentation built on Sept. 24, 2023, 5:06 p.m.