plot.paircomp {psychotools}

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

See Also

paircomp

Examples

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