Plot fixed value lines, for the top, left and right axis, analagous to the geom_hline
and geom_vline
geometries in ggplot2
geom_Tline(
mapping = NULL,
data = NULL,
...,
Tintercept,
na.rm = FALSE,
show.legend = NA
)Tline(
mapping = NULL,
data = NULL,
...,
Tintercept,
na.rm = FALSE,
show.legend = NA
)
tline(
mapping = NULL,
data = NULL,
...,
Tintercept,
na.rm = FALSE,
show.legend = NA
)
geom_Lline(
mapping = NULL,
data = NULL,
...,
Lintercept,
na.rm = FALSE,
show.legend = NA
)
Lline(
mapping = NULL,
data = NULL,
...,
Lintercept,
na.rm = FALSE,
show.legend = NA
)
lline(
mapping = NULL,
data = NULL,
...,
Lintercept,
na.rm = FALSE,
show.legend = NA
)
geom_Rline(
mapping = NULL,
data = NULL,
...,
Rintercept,
na.rm = FALSE,
show.legend = NA
)
Rline(
mapping = NULL,
data = NULL,
...,
Rintercept,
na.rm = FALSE,
show.legend = NA
)
rline(
mapping = NULL,
data = NULL,
...,
Rintercept,
na.rm = FALSE,
show.legend = NA
)
Set of aesthetic mappings created by aes()
.
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)
).
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.
the intercepts for the T, L and R axis respectively
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.
Nicholas Hamilton
ggtern() +
geom_Tline(Tintercept=.5,arrow=arrow(), colour='red') +
geom_Lline(Lintercept=.2, colour='green') +
geom_Rline(Rintercept=.1, colour='blue')
Run the code above in your browser using DataLab