triangleplot: Triangle Plot

In arm: Data Analysis Using Regression and Multilevel/Hierarchical Models

Triangle Plot

Description

Function for making a triangle plot from a square matrix

Usage

triangleplot (x, y=NULL, cutpts=NULL, details=TRUE, 
            n.col.legend=5, cex.col=0.7, 
            cex.var=0.9, digits=1, color=FALSE)

Arguments

x	a square matrix.
y	a vector of names that corresponds to each element of the square matrix x.
cutpts	a vector of cutting points for color legend, default is NULL. The function will decide the cutting points if cutpts is not assigned.
details	show more than one digits correlaton values. Default is TRUE. FALSE is suggested to get readable output.
n.col.legend	number of legend for the color thermometer
cex.col	font size of the color thermometer.
cex.var	font size of the variable names.
digits	number of digits shown in the text of the color theromoeter.
color	color of the plot, default is FALSE, which uses gray scale.

Details

The function makes a triangle plot from a square matrix, e.g., the correlation plot, see corrplot. If a square matrix contains missing values, the cells of missing values will be marked x.

Author(s)

Yu-Sung Su [e-mail]

See Also

corrplot, par

Examples

old.par <- par(no.readonly = TRUE)

 # create a square matrix
 x <- matrix(runif(1600, 0, 1), 40, 40)
 
 # fig 1
 triangleplot(x)
 
 # fig 2 assign cutting points
 triangleplot(x, cutpts=c(0,0.25,0.5,0.75,1), digits=2)
 
 # fig 3 if x contains missing value
 x[12,13] <- x[13,12] <- NA
 x[25,27] <- x[27,25] <- NA
 triangleplot(x)
 
par(old.par)

#
#library(RColorBrewer)
#cormat <-  cor(iris[,-5])
#triangleplot2(cormat,color = brewer.pal( 5, "RdBu" ),
# n.col.legend=5, cex.col=0.7, cex.var=0.5)

arm documentation built on April 1, 2024, 3:01 p.m.