plot.paircomp: Plotting Paired Comparison Data

Description

Plotting the frequency table from "paircomp" data.

Usage

# S3 method for 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, Murrell P (2009), Escaping RGBland: Selecting Colors for Statistical Graphics. Computational Statistics & Data Analysis, 53, 3259-3270. tools:::Rd_expr_doi("10.1016/j.csda.2008.11.033")

Examples

Run this code

data("GermanParties2009", package = "psychotools")
par(mar = c(5, 6, 3, 6))
plot(GermanParties2009$preference, abbreviate = FALSE)