Usage
stat_density_tern(mapping = NULL, data = NULL, geom = "density_tern",
position = "identity", ..., contour = TRUE, n = 100, h = NULL,
na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, weight = 1,
base = "ilr", expand = c(0.5, 0.5))
Arguments
mapping
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 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.fra
geom
Use to override the default connection between
geom_density_2d and stat_density_2d.
position
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
color = "red" or size = 3. They may also be parameters
to the paired g contour
If TRUE, contour the results of the 2d density
estimation
n
number of grid points in each direction
h
Bandwidth (vector of length two) as a multiple of the best estimate, estimated using bandwidth.nrd. na.rm
If FALSE (the default), removes missing values with
a warning. If TRUE silently removes missing values.
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.
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.
weight
weighting for weighted kde2d esimate, default's to 1, which is non-weighted and equivalent to the usual kde2d calculation
base
the base transformation of the data, options include 'identity' (ie direct on the cartesian space), or 'ilr'
which means to use the isometric log ratio transformation.
expand
Calculate on a mesh which extends beyond the grid of the plot region by this amount
If NULL, estimated using bandwidth.nrd. Aesthetics
[results=rd,stage=build]{ggtern:::rd_aesthetics("stat", "density_tern")}
#Plot Density Estimate, on isometric log ratio transformation of original data
data(Feldspar)
ggtern(Feldspar,aes(Ab,An,Or)) +
stat_density_tern(aes(fill=..level..),geom='polygon',base='ilr')
datasets