segplot: Plot the segment-analysis model

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

Plot the segment-analysis model

Description

Produces a plot based on Endler's (1990) segment analysis.

Usage

segplot(
  segdata,
  labels = TRUE,
  lab.cex = 0.9,
  out.lwd = 1,
  out.lty = 1,
  out.lcol = "black",
  tick.loc = c(-1, -0.5, 0.5, 1),
  square = TRUE,
  ...
)

Arguments

segdata	(required) a data frame, possibly a result from the colspace() or segspace() function, containing values for 'LM' and 'MS' as columns (labeled as such).
labels	logical. Should the name of each cone be printed next to the corresponding vertex?
tick.loc	a numeric vector specifying the location of tick marks on x & y axes.
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

Endler, J. A. (1990) On the measurement and classification of colour in studies of animal colour patterns. Biological Journal of the Linnean Society, 41, 315-352.

Examples

data(flowers)
vis.flowers <- vismodel(flowers, visual = "segment", achromatic = "all")
seg.flowers <- colspace(vis.flowers, space = "segment")
plot(seg.flowers)

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