Learn R Programming

pavo (version 2.1.0)

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, margins = c(1, 1, 2, 2), square = TRUE, ...)

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

plot verticy labels? Defaults to TRUE.

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

character expansion factor for category labels when labels = TRUE).

out.lwd, out.lcol, out.lty

graphical parameters for the plot outline.

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

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
# NOT RUN {
data(flowers)
vis.flowers <- vismodel(flowers, visual = "apis")
tri.flowers <- colspace(vis.flowers, space = "tri")
plot(tri.flowers)
# }

Run the code above in your browser using DataLab