plotcolors: Plots a matrix of colors

Description

plotcolors plots a matrix of colors as an image or as points.

imageinfo is a utility that given a matrix of colors, returns a structure useful for the image function.

Usage

plotcolors(cmat, na.color = "white", dlabels = NULL, rlabels = FALSE, clabels = FALSE, 
ptype = "image", border.color = "grey70", pch = 15, cex = 3, label.cex = 0.6, ...)
imageinfo(cmat)

Value

imageinfo returns a list with components:

x: a vector of x coordinates.
y: a vector of y coordinates.
z: a matrix containing values to be plotted.
col: the colors to be used.

Arguments

cmat: a matrix of numbers, nas are allowed.
na.color: used for NAs in cmat.
dlabels: vector of labels for the diagonals.
rlabels: vector of labels for the rows.
clabels: vector of labels for the columns.
ptype: should be "image" or "points"
border.color: color of border drawn around the plot.
pch: point type used when ptype="points".
cex: point cex used when ptype="points".
label.cex: cex parameter used for labels.
...: graphical parameters

Author

Catherine B. Hurley

Examples

Run this code


plotcolors(matrix(1:20,nrow=4,ncol=5))

plotcolors(matrix(1:20,nrow=4,ncol=5),ptype="points",cex=6)

plotcolors(matrix(1:20,nrow=4,ncol=5),rlabels = c("a","b","c","d"))


data(longley)
longley.cor <- cor(longley)
# A matrix with equal (or nearly equal) number of entries of each color.
longley.color <- dmat.color(longley.cor)


plotcolors(longley.color, dlabels=rownames(longley.color))

# Could also reorder variables prior to plotting:
longley.o <- order.single(longley.cor)
longley.color <- longley.color[longley.o,longley.o]

op <- par(mar=c(1,6,6,1))
plotcolors(longley.color,rlabels=rownames(longley.color),clabels=rownames(longley.color) )
par(op)