triplot: Plot a Maxwell triangle

Description

Produces a Maxwell triangle plot.

Usage

triplot(
  tridata,
  labels = TRUE,
  achro = TRUE,
  achrocol = "grey",
  achrosize = 0.8,
  labels.cex = 1,
  out.lwd = 1,
  out.lcol = "black",
  out.lty = 1,
  square = TRUE,
  gamut = FALSE,
  ...
)

Arguments

tridata: (required) a data frame, possibly a result from the colspace() or trispace() function, containing values for the 'x' and 'y' coordinates as columns (labeled as such).
labels: logical. Should the name of each cone be printed next to the corresponding vertex?
achro: should a point be plotted at the origin (defaults to TRUE)?
achrocol: color of the point at the origin achro = TRUE (defaults to 'grey').
achrosize: size of the point at the origin when achro = TRUE (defaults to 0.8).
labels.cex: size of the arrow labels.
out.lwd, out.lcol, out.lty: graphical parameters for the plot outline.
square: logical. Should the aspect ratio of the plot be held to 1:1? (defaults to TRUE).
gamut: logical. Should the polygon showing the possible colours given visual system and illuminant used in the analysis (defaults to FALSE). This option currently only works when qcatch = Qi.
...: additional graphical options. See par().

Author

Thomas White thomas.white026@gmail.com

References

Maxwell JC. (1970). On color vision. In: Macadam, D. L. (ed) Sources of Color Science. Cambridge, MIT Press, 1872 - 1873.

Kelber A, Vorobyev M, Osorio D. (2003). Animal colour vision - behavioural tests and physiological concepts. Biological Reviews, 78, 81 - 118.

MacLeod DIA, Boynton RM. (1979). Chromaticity diagram showing cone excitation by stimuli of equal luminance. Journal of the Optical Society of America, 69, 1183-1186.

Examples

Run this code

data(flowers)
vis.flowers <- vismodel(flowers, visual = "apis")
tri.flowers <- colspace(vis.flowers, space = "tri")
plot(tri.flowers)

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