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Plotting the frequency table from "paircomp"
data.
# 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", ...)
an object of class "paircomp"
.
numeric. Offset between segments on the y-axis.
character. Axis labels.
numeric. convenience tolerance parameter for x-axis annotation. If the distance between two labels drops under this threshold, they are plotted equidistantly.
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.
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.
numeric. Maximum chroma in the palette.
numeric. Minimum (and maximum) luminance in the palette. If omitted, the maximum is set to 95.
graphical arguments passed to
plot
.
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.
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")
paircomp
data("GermanParties2009", package = "psychotools")
par(mar = c(5, 6, 3, 6))
plot(GermanParties2009$preference, abbreviate = FALSE)
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