- mapping
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.
- data
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)
).
- position
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.
- ...
Other arguments passed on to layer()
's params
argument. These
arguments broadly fall into one of 4 categories below. Notably, further
arguments to the position
argument, or aesthetics that are required
can not be passed through ...
. Unknown arguments that are not part
of the 4 categories below are ignored.
Static aesthetics that are not mapped to a scale, but are at a fixed
value and apply to the layer as a whole. For example, colour = "red"
or linewidth = 3
. The geom's documentation has an Aesthetics
section that lists the available options. The 'required' aesthetics
cannot be passed on to the params
. Please note that while passing
unmapped aesthetics as vectors is technically possible, the order and
required length is not guaranteed to be parallel to the input data.
When constructing a layer using
a stat_*()
function, the ...
argument can be used to pass on
parameters to the geom
part of the layer. An example of this is
stat_density(geom = "area", outline.type = "both")
. The geom's
documentation lists which parameters it can accept.
Inversely, when constructing a layer using a
geom_*()
function, the ...
argument can be used to pass on parameters
to the stat
part of the layer. An example of this is
geom_area(stat = "density", adjust = 0.5)
. The stat's documentation
lists which parameters it can accept.
The key_glyph
argument of layer()
may also be passed on through
...
. This can be one of the functions described as
key glyphs, to change the display of the layer in the legend.
- na.rm
If FALSE
, the default, missing values are removed with
a warning. If TRUE
, missing values are silently removed.
- orientation
The orientation of the layer. The default (NA
)
automatically determines the orientation from the aesthetic mapping. In the
rare event that this fails it can be given explicitly by setting orientation
to either "x"
or "y"
. See the Orientation section for more detail.
- show.legend
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.
- inherit.aes
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()
.
- outline.type
Type of the outline of the area; "both"
draws both the
upper and lower lines, "upper"
/"lower"
draws the respective lines only.
"full"
draws a closed polygon around the area.
- geom, stat
Use to override the default connection between
geom_density()
and stat_density()
. For more information about
overriding these connections, see how the stat and
geom arguments work.
- bw
The smoothing bandwidth to be used.
If numeric, the standard deviation of the smoothing kernel.
If character, a rule to choose the bandwidth, as listed in
stats::bw.nrd()
. Note that automatic calculation of the bandwidth does
not take weights into account.
- adjust
A multiplicate bandwidth adjustment. This makes it possible
to adjust the bandwidth while still using the a bandwidth estimator.
For example, adjust = 1/2
means use half of the default bandwidth.
- kernel
Kernel. See list of available kernels in density()
.
- n
number of equally spaced points at which the density is to be
estimated, should be a power of two, see density()
for
details
- trim
If FALSE
, the default, each density is computed on the
full range of the data. If TRUE
, each density is computed over the
range of that group: this typically means the estimated x values will
not line-up, and hence you won't be able to stack density values.
This parameter only matters if you are displaying multiple densities in
one plot or if you are manually adjusting the scale limits.
- bounds
Known lower and upper bounds for estimated data. Default
c(-Inf, Inf)
means that there are no (finite) bounds. If any bound is
finite, boundary effect of default density estimation will be corrected by
reflecting tails outside bounds
around their closest edge. Data points
outside of bounds are removed with a warning.