ggtern: geom_confidence_tern – R documentation

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ggtern

geom_confidence_tern

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

ggtern

An Extension to 'ggplot2', for the Creation of Ternary Diagrams

v3.3.0

GPL-2 | file LICENSE

Authors

Nicholas Hamilton [aut, cre]

Initial release

2020-04-9

geom_confidence_tern

Description

Usage

Arguments

Aesthetics

Computed variables

Author(s)

Examples

ggtern

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