lattice (version 0.17-25)

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(),
    subscripts,
    subset)

Arguments

x

The object on which method dispatch is carried out.

For the formula method, a formula of the form y ~ x | g1 * g2 * ..., where x must be a numeric, and y can be a factor, shingle, character or numeric

data

For the formula methods, an optional data frame in which variables in the formula (as well as groups and subset, if any) are to be evaluated.

f.value

optional numeric vector of probabilities, quantiles corresponding to which should be plotted. Can also be a function of a single integer (representing sample size) that returns such a numeric vector. The typical value for this argument is th

panel

The function that uses the packet (subset of display variables) corresponding to a panel to create a display. Default panel functions are documented separately, and often have arguments that can be used to customize its display in various way

qtype

type argument for the quantile

aspect, prepanel, scales, strip, groups, xlab, xlim, ylab, ylim, drop.unused.levels, lattice.options, default.scales, subscripts, subset

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 a Q-Q plot 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

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