geom_confidence_tern {ggtern}

Confidence Interval

Description

Calculates the confidence intervals, via the Mahalnobis Distance and use of the Log-Ratio Transformation

Statistic

Usage

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
)

Arguments

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

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.

lineend

Line end style (round, butt, square).

linejoin

Line join style (round, mitre, bevel).

linemitre

Line mitre limit (number greater than 1).

na.rm

If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

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().

geom, stat

Use to override the default connection between geom_smooth() and stat_smooth().

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). If NULL, estimated using bandwidth.nrd.

breaks

the confidence intervals, default to 50, 90 and 95 percent.

Aesthetics

geom_ConfidenceTernunderstands the following aesthetics (required aesthetics are in bold):

• x

• y

• alpha

• colour

• linetype

• size

Computed variables

Same as stat_contour

Author(s)

Nicholas Hamilton

Examples

  data(Feldspar)
  ggtern(data=Feldspar,aes(An,Ab,Or)) + 
    geom_point() + 
    geom_confidence_tern()