ggtern (version 2.1.1)

geom_Xline: Fixed Value Lines

Description

Plot fixed value lines, for the top, left and right axis, analagous to the geom_hline and geom_vline geometries in ggplot2

Usage

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)

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

...

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

Tintercept, Lintercept, Rintercept

the intercepts for the T, L and R axis respectively

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.

Examples

ggtern() + 
geom_Tline(Tintercept=.5,arrow=arrow(), colour='red') + 
geom_Lline(Lintercept=.2, colour='green') + 
geom_Rline(Rintercept=.1, colour='blue')