This fits a quantile regression to the data and draws the fitted quantiles
with lines. This is as a continuous analogue to geom_boxplot.
gf_quantile(object = NULL, gformula = NULL, data = NULL, alpha, color,
group, linetype, size, weight, lineend = "butt", linejoin = "round",
linemitre = 1, quantiles, formula, method, method.args, xlab, ylab, title,
subtitle, caption, geom = "quantile", stat = "quantile",
position = "identity", show.legend = NA, show.help = NULL,
inherit = TRUE, environment = parent.frame(), ...)When chaining, this holds an object produced in the earlier portions of the chain. Most users can safely ignore this argument. See details and examples.
A formula with shape y ~ x.
Faceting can be achieved by including | in the formula.
The data to be displayed in this layer. There are three options:
If NULL, the default, the data is inherited from the plot
data as specified in the call to ggplot.
A data.frame, or other object, will override the plot
data. All objects will be fortified to produce a data frame. See
fortify for which variables will be created.
A function will be called with a single argument,
the plot data. The return value must be a data.frame., and
will be used as the layer data.
Opacity (0 = invisible, 1 = opaque).
A color or a formula used for mapping color.
Used for grouping.
A linetype (numeric or "dashed", "dotted", etc.) or a formula used for mapping linetype.
A numeric size or a formula used for mapping size.
Useful for summarized data, weight provides a count
of the number of values with the given combination of x and y values.
Line end style (round, butt, square)
Line join style (round, mitre, bevel)
Line mitre limit (number greater than 1)
conditional quantiles of y to calculate and display
formula relating y variables to x variables
Quantile regression method to use. Currently only supports
rq.
List of additional arguments passed on to the modelling
function defined by method.
Label for x-axis. See also gf_labs().
Label for y-axis. See also gf_labs().
Title, sub-title, and caption for the plot.
See also gf_labs().
Title, sub-title, and caption for the plot.
See also gf_labs().
Title, sub-title, and caption for the plot.
See also gf_labs().
Use to override the default connection between
geom_quantile and stat_quantile.
Use to override the default connection between
geom_quantile and stat_quantile.
Position adjustment, either as a string, or the result of a call to a position adjustment function.
logical. Should this layer be included in the legends?
NA, the default, includes if any aesthetics are mapped.
FALSE never includes, and TRUE always includes.
If TRUE, display some minimal help.
A logical indicating whether default attributes are inherited.
An environment in which to look for variables not found in data.
Additional arguments. Typically these are
(a) ggplot2 aesthetics to be set with attribute = value,
(b) ggplot2 aesthetics to be mapped with attribute = ~expression, or
(c) attributes of the layer as a whole, which are set with attribute = value.
a gg object
Positional aesthetics are specified using the formula in gformula.
Setting and mapping of additional attributes can be done through the
use of additional arguments.
Attributes can be set can be set using arguments of the form attribute = value or
mapped using arguments of the form attribute = ~ expression.
In formulas of the form A | B, B will be used to form facets using
facet_wrap() or facet_grid().
This provides an alternative to
gf_facet_wrap() and
gf_facet_grid() that is terser and may feel more familiar to users
of lattice.
Evaluation of the ggplot2 code occurs in the environment of gformula.
This will typically do the right thing when formulas are created on the fly, but might not
be the right thing if formulas created in one environment are used to create plots
in another.
# NOT RUN {
gf_point((1/hwy) ~ displ, data = mpg) %>%
gf_quantile((1/hwy) ~ displ)
# }
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