plotcolors: Plots a matrix of colors

In gclus: Clustering Graphics

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)

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

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.

Author(s)

Catherine B. Hurley

See Also

plot, image

Examples

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)

gclus documentation built on May 2, 2019, 5:08 a.m.