plot.paircomp | R Documentation |
Plotting the frequency table from "paircomp"
data.
## 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", ...)
x |
an object of class |
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 |
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
|
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. \Sexpr[results=rd]{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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