ggtern (version 1.0.1.3)

geom_confidence: Confidence Interval

Description

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

Usage

geom_confidence(mapping = NULL, data = NULL,
    breaks = c(0.5, 0.9, 0.95), n = 500,
    stat = "confidence", position = "identity",
    na.rm = FALSE, ...)

Arguments

breaks

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

n

the numer of points in the approximation for each confidence interval.

mapping

The aesthetic mapping, usually constructed with aes or aes_string. Only needs to be set at the layer level if you are overriding the plot defaults.

data

A layer specific dataset - only needed if you want to override the plot defaults.

stat

The statistical transformation to use on the data for this layer.

position

The position adjustment to use for overlappling points on this layer

...

other arguments passed on to layer. This can include aesthetics whose values you want to set, not map. See layer for more details.

na.rm

If FALSE (the default), removes missing values with a warning. If TRUE silently removes missing values.

Examples

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