Compute values for the Q-Q Boxplot
stat_qqboxplot(
mapping = NULL,
data = NULL,
geom = "qqboxplot",
position = "dodge2",
...,
coef = 1.5,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
reference_dist = "norm",
confidence_level = 0.95,
numboots = 500,
qtype = 7,
compdata = NULL
)Returns an object of class StatQqboxplot, (inherits from Geom, ggproto),
that helps to render the data for geom_qqboxplot().
Set of aesthetic mappings created by aes() or
aes_(). If specified and inherit.aes = TRUE (the
default), it is combined with the default mapping at the top level of the
plot. You must supply mapping if there is no plot mapping.
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. A function can be created
from a formula (e.g. ~ head(.x, 10)).
specifies the geom function to use
Position adjustment, either as a string, or the result of a call to a position adjustment function.
Other arguments passed on to layer(). These are
often aesthetics, used to set an aesthetic to a fixed value, like
colour = "red" or size = 3. They may also be parameters
to the paired geom/stat.
Length of the whiskers as multiple of IQR. Defaults to 1.5.
If FALSE, the default, missing values are removed with
a warning. If TRUE, missing values are silently removed.
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.
It can also be a named logical vector to finely select the aesthetics to
display.
If FALSE, overrides the default aesthetics,
rather than combining with them. This is most useful for helper functions
that define both data and aesthetics and shouldn't inherit behaviour from
the default plot specification, e.g. borders().
Specifies theoretical reference distribution.
Sets confidence level for deviation whisker confidence bands
specifies the number of bootstrap draws for bootstrapped CIs needed only if compdata is not NULL
an integer between 1 and 9 indicating which one of the quantile algorithms to use.
specifies a data set to use as the reference distribution. If compdata is not NULL, the argument reference_dist will be ignored.
stat_qqboxplot() provides the following variables, some of which depend on the orientation:
width of boxplot
lower whisker = smallest observation greater than or equal to lower hinge - 1.5 * IQR
lower hinge, 25% quantile
lower edge of notch = median - 1.58 * IQR / sqrt(n)
median, 50% quantile
upper edge of notch = median + 1.58 * IQR / sqrt(n)
upper hinge, 75% quantile
upper whisker = largest observation less than or equal to upper hinge + 1.5 * IQR