Plot the colour opponent coding diagram

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

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",
  margins = c(1, 1, 2, 2),
  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').
margins	margins for the plot.
square	logical. Should the aspect ratio of the plot be held to 1:1? (defaults to TRUE).
...	additional graphical options. See par().

References

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

Author

Thomas White thomas.white026@gmail.com

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)