# plot.paircomp: Plotting Paired Comparison Data In psychotools: Psychometric Modeling Infrastructure

## Description

Plotting the frequency table from `"paircomp"` data.

## Usage

 ```1 2 3 4 5``` ``` ## 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

`paircomp`
 ```1 2 3``` ```data("GermanParties2009", package = "psychotools") par(mar = c(5, 6, 3, 6)) plot(GermanParties2009\$preference, abbreviate = FALSE) ```