Calculates the confidence intervals, via the Mahalnobis Distance and use of the Log-Ratio
Transformation
Statistic
geom_confidence_tern(
mapping = NULL,
data = NULL,
stat = "ConfidenceTern",
position = "identity",
...,
lineend = "butt",
linejoin = "round",
linemitre = 1,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)stat_confidence_tern(
mapping = NULL,
data = NULL,
geom = "ConfidenceTern",
position = "identity",
...,
contour = TRUE,
n = 100,
h = NULL,
na.rm = FALSE,
breaks = c(0.5, 0.9, 0.95),
show.legend = NA,
inherit.aes = TRUE
)
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)
).
Position adjustment, either as a string naming the adjustment
(e.g. "jitter"
to use position_jitter
), or the result of a call to a
position adjustment function. Use the latter if you need to change the
settings of the adjustment.
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.
Line end style (round, butt, square).
Line join style (round, mitre, bevel).
Line mitre limit (number greater than 1).
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()
.
Use to override the default connection between
geom_smooth()
and stat_smooth()
.
If TRUE
, contour the results of the 2d density estimation
number of grid points in each direction
Bandwidth (vector of length two). If NULL
, estimated using bandwidth.nrd
.
the confidence intervals, default to 50, 90 and 95 percent.
ggtern:::rd_aesthetics("geom", "ConfidenceTern")
Same as stat_contour
Nicholas Hamilton
data(Feldspar)
ggtern(data=Feldspar,aes(An,Ab,Or)) +
geom_point() +
geom_confidence_tern()
Run the code above in your browser using DataLab