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lattice (version 0.20-6)

B_05_qq: Quantile-Quantile Plots of Two Samples

Description

Quantile-Quantile plots for comparing two Distributions

Usage

qq(x, data, ...)

## S3 method for class 'formula': qq(x, data, aspect = "fill", panel = lattice.getOption("panel.qq"), prepanel, scales, strip, groups, xlab, xlim, ylab, ylim, f.value = NULL, drop.unused.levels = lattice.getOption("drop.unused.levels"), ..., lattice.options = NULL, qtype = 7, default.scales = list(), default.prepanel = lattice.getOption("prepanel.default.qq"), subscripts, subset)

Arguments

x
The object on which method dispatch is carried out.

For the "formula" method, x should be a formula of the form y ~ x | g1 * g2 * ..., where x should be a numeric variable, and y

data
For the formula method, an optional data source (usually a data frame) in which variables are to be evaluated (see xyplot for details).
f.value
An optional numeric vector of probabilities, quantiles corresponding to which should be plotted. This can also be a function of a single integer (representing sample size) that returns such a numeric vector. A typical value for this argument
panel
A function, called once for each panel, that uses the packet (subset of panel variables) corresponding to the panel to create a display. The default panel function panel.qq is documented separa
qtype
The type argument for quantile.
aspect
See xyplot.
prepanel
See xyplot.
scales
See xyplot.
strip
See xyplot.
groups
See xyplot.
xlab, ylab
See xyplot.
xlim, ylim
See xyplot.
drop.unused.levels
See xyplot.
lattice.options
See xyplot.
default.scales
See xyplot.
subscripts
See xyplot.
subset
See xyplot.
default.prepanel
Fallback prepanel function. See xyplot.
...
Further arguments. See corresponding entry in xyplot for non-trivial details.

Value

  • An object of class "trellis". The update method can be used to update components of the object and the print method (usually called by default) will plot it on an appropriate plotting device.

Details

qq produces Q-Q plots of two samples. The default behaviour of qq is different from the corresponding S-PLUS function. See the entry for f.value for specifics.

This and all other high level Trellis functions have several arguments in common. These are extensively documented only in the help page for xyplot, which should be consulted to learn more detailed usage.

See Also

xyplot, panel.qq, qqmath, Lattice

Examples

Run this code
qq(voice.part ~ height, aspect = 1, data = singer,
   subset = (voice.part == "Bass 2" | voice.part == "Tenor 1"))

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