pavo (version 2.3.0)

segplot: 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),
  margins = c(1, 1, 2, 2),
  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.

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

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

# NOT RUN {
data(flowers)
vis.flowers <- vismodel(flowers, visual = "segment", achromatic = "all")
seg.flowers <- colspace(vis.flowers, space = "segment")
plot(seg.flowers)
# }