ternaryplot: Create a Ternary Plot for three-part Compositions

In ToolsForCoDa: Multivariate Tools for Compositional Data Analysis

Create a Ternary Plot for three-part Compositions

Description

Function ternaryplot accepts a matrix of three part compositions or non-negative counts and presents these in a ternary diagram.

Usage

ternaryplot(X, vertexlab = colnames(X), vertex.cex = 1, pch = 19, addpoints = TRUE,
            grid = FALSE, gridlabels = TRUE, ...)

Arguments

X	A matrix of counts or compositions with three columns
vertexlab	Labels for the vertices of the tenary diagram
vertex.cex	Character expansion factor for vertex labels
pch	Plotting character for the compositions
addpoints	Show the compositions addpoints=TRUE or not
grid	Place a grid over the ternary diagram
gridlabels	Place grid labels or not
...	Additional arguments for the points function

Value

NULL

Author(s)

Jan Graffelman ([e-mail])

Examples

data("Artificial")
Xsim.com <- Artificial$Xsim.com
colnames(Xsim.com) <- paste("X",1:3,sep="")
ternaryplot(Xsim.com)

ToolsForCoDa documentation built on April 3, 2025, 7:47 p.m.