Render bagplots from tagged data comprising medians, hulls, contours, and outlier specifications.
geom_bagplot(
mapping = NULL,
data = NULL,
stat = "bagplot",
position = "identity",
...,
bag.linewidth = sync(),
bag.linetype = sync(),
bag.colour = "black",
bag.color = NULL,
bag.fill = sync(),
bag.alpha = NA,
median.shape = 21L,
median.stroke = sync(),
median.size = 5,
median.colour = sync(),
median.color = NULL,
median.fill = "white",
median.alpha = NA,
fence.linewidth = 0.25,
fence.linetype = 0L,
fence.colour = sync(),
fence.color = NULL,
fence.fill = sync(),
fence.alpha = 0.25,
outlier.shape = sync(),
outlier.stroke = sync(),
outlier.size = sync(),
outlier.colour = sync(),
outlier.color = NULL,
outlier.fill = NA,
outlier.alpha = NA,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)A ggproto
Set of aesthetic mappings created by 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)).
The statistical transformation to use on the data for this layer.
When using a geom_*() function to construct a layer, the stat
argument can be used the override the default coupling between geoms and
stats. The stat argument accepts the following:
A Stat ggproto subclass, for example StatCount.
A string naming the stat. To give the stat as a string, strip the
function name of the stat_ prefix. For example, to use stat_count(),
give the stat as "count".
For more information and other ways to specify the stat, see the layer stat documentation.
A position adjustment to use on the data for this layer. This
can be used in various ways, including to prevent overplotting and
improving the display. The position argument accepts the following:
The result of calling a position function, such as position_jitter().
This method allows for passing extra arguments to the position.
A string naming the position adjustment. To give the position as a
string, strip the function name of the position_ prefix. For example,
to use position_jitter(), give the position as "jitter".
For more information and other ways to specify the position, see the layer position documentation.
Additional arguments passed to ggplot2::layer().
Default aesthetics for bags. Set to sync() to inherit from the data's
aesthetics or to NULL to use the data's aesthetics.
Default aesthetics for medians. Set to sync() to inherit from the data's
aesthetics or to NULL to use the data's aesthetics.
Default aesthetics for fences. Set to sync() to inherit from the data's
aesthetics or to NULL to use the data's aesthetics.
Default aesthetics for outliers. Set to sync() to inherit from the data's
aesthetics or to NULL to use the data's aesthetics.
Passed to ggplot2::layer().
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().
geom_bagplot() understands the following aesthetics (required aesthetics
are in bold):
x
y
component
linewidth
linetype
colour
fill
alpha
shape
stroke
size
group
geom_bagplot() is designed to pair with stat_bagplot(),
analogously to the pairing of ggplot2::geom_boxplot() with
ggplot2::stat_boxplot().
Because the optional components are more expensive to compute in this
setting, they are controlled by parameters passed to the stat. Auxiliary
aesthetics like median.colour are available that override auxiliary
defaults, and these in turn override the standard defaults. Auxiliary
defaults also take effect when auxiliary aesthetics are passed NULL, so
that stat_bagplot() and geom_bagplot() have the same default behavior.
Pass sync() (instead of NULL, as in ggplot2::geom_boxplot()) to
synchronize an auxiliary aesthetic with its standard counterpart.
WARNING: The trade-off between precision and runtime is greater for depth estimation than for density estimation. At the resolution of the default \(100 \times 100\) grid, basic examples may vary noticeably when starting from different random seeds.
Other geom layers:
geom_axis(),
geom_isoline(),
geom_lineranges(),
geom_rule(),
geom_text_radiate(),
geom_vector()
# Motor Trends base plot with factorized cylinder counts
p <- mtcars %>%
transform(cyl = factor(cyl)) %>%
ggplot(aes(x = wt, y = disp)) +
theme_bw()
# basic bagplot
p + geom_bagplot()
# group by cylinder count
p + geom_bagplot(
fraction = 0.4, coef = 1.2,
aes(fill = cyl, linetype = cyl, color = cyl)
)
# using normally unmapped aesthetics
p + geom_bagplot(
fraction = 0.4, coef = 1.2,
aes(fill = cyl, linetype = cyl, color = cyl),
median.color = "black",
fence.linetype = sync(), fence.colour = "black",
outlier.shape = "asterisk", outlier.colour = "black"
)
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