plot.paircomp {psychotree}R Documentation

Plotting Paired Comparison Data

Description

Plotting the frequency table from "paircomp" data.

Usage

  ## S3 method for class 'paircomp':
  plot(x, off = 0.05,
  xlab = "Proportion of comparisons", ylab = "", tol.xlab = 0.05,
  abbreviate = TRUE, hue = NULL, chroma = 40, luminance = 80,
  xlim = c(0, 1), ylim = NULL, xaxs = "i", yaxs = "i", ...)

Arguments

x an object of class "paircomp".
off numeric. Offset between segments on the y-axis.
xlab, ylab character. Axis labels.
tol.xlab numeric. convenience tolerance parameter for x-axis annotation. If the distance between two labels drops under this threshold, they are plotted equidistantly.
abbreviate logical or integer. Should object labels be abbreviated? Alternative an integer with the desired abbreviation length. The default is some heuristic based on the length of the labels.
hue numeric. A vector of hues in [0, 360], recycled to the number of objects compared in x. A sequential palette is computed for each hue, see below.
chroma numeric. Maximum chroma in the palette.
luminance numeric. Minimum (and maximum) luminance in the palette. If omitted, the maximum is set to 95.
xlim, ylim, xaxs, yaxs, ... graphical arguments passed to plot.

Details

The plot method creates a frequency table (using summary) and visualizes this using a sort of spine plot with HCL-based diverging palettes. See Zeileis, Hornik, Murrell (2009) for the underlying ideas.

References

Zeileis A., Hornik K. and Murrell P. (2009), Escaping RGBland: Selecting Colors for Statistical Graphics. Computational Statistics & Data Analysis, Forthcoming. Preprint available from http://statmath.wu-wien.ac.at/~zeileis/papers/Zeileis+Hornik+Murrell-2008.pdf.

See Also

paircomp

Examples

data("CEMSChoice")
par(mar = c(5, 6, 3, 6))
plot(CEMSChoice$preference, abbreviate = FALSE)

[Package psychotree version 0.9-0 Index]