foo/bar: Quantile-Quantile Plots of Two Samples
In lattice: Trellis Graphics for R
B_05_qq R Documentation
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 a factor, shingle, character, or
numeric variable, with the restriction that there must be exactly
two levels of y, which divide the values of x into two
groups. Quantiles for these groups will be plotted against each
other along the two axes.
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 is the function
ppoints, which is also the S-PLUS default. If specified, the
probabilities generated by this function is used for the plotted
quantiles, through the quantile function.
f.value defaults to NULL, which is equivalent to
f.value = function(n) ppoints(n, a = 1)
This has the effect of including the minimum and maximum data values
in the computed quantiles. This is similar to what happens for
qqplot but different from the default behaviour of qq
in S-PLUS.
For large x, this argument can be used to restrict the number
of quantiles plotted.
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
separately, and has arguments that can be used to customize its
output in various ways. Such arguments can usually be directly
supplied to the high-level function.
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.
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.
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.
Author(s)
Deepayan Sarkar Deepayan.Sarkar@R-project.org
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"))
lattice documentation built on May 29, 2024, 7:29 a.m.
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| B_05_qq | R Documentation |
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 |
data |
For the |
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 is the function
f.value = function(n) ppoints(n, a = 1)
This has the effect of including the minimum and maximum data values
in the computed quantiles. This is similar to what happens for
For large |
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 |
qtype |
The |
aspect |
See |
prepanel |
See |
scales |
See |
strip |
See |
groups |
See |
xlab, ylab |
See |
xlim, ylim |
See |
drop.unused.levels |
See |
lattice.options |
See |
default.scales |
See |
subscripts |
See |
subset |
See |
default.prepanel |
Fallback prepanel function. See |
... |
Further arguments. See corresponding entry in |
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.
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.
Author(s)
Deepayan Sarkar Deepayan.Sarkar@R-project.org
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"))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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