plotCM {MLEcens} | R Documentation |
Plot a clique matrix
Description
This function can be used to make an image of a clique matrix
(or any other 0-1 matrix). It is basically just the function
image
, with some pre-defined settings.
Usage
plotCM(cm, col=c("white","black"), at.x=NULL, at.y=NULL,
xlab="Observation rectangles", ylab="Maximal intersections",
main="", sub="")
Arguments
cm |
A mxn clique matrix, where m is the number of maximal intersections, and n is the number of observation rectangles. The (i,j)th element is 1 if the ith maximal intersection is contained in the jth observation rectangle, and it is 0 otherwise. |
col |
Colors to be used. The default value is c("white","black"). |
at.x |
The points at which tick-marks are to be drawn along the
x-axis. The default value is NULL, meaning that tickmark locations
are computed automatically. See also the documentation of
|
at.y |
The points at which tick-marks are to be drawn along the
y-axis. The default value is NULL, meaning that tickmark locations
are computed automatically. See also the documentation of
|
xlab |
Label for the x-axis. The default value is "Observation rectangles". |
ylab |
Label for the y-axis. The default value is "Maximal intersections". |
main |
Title of the plot. The default value is empty. |
sub |
Sub-title of the plot. The default value is empty. |
Value
No value is returned.
Author(s)
Marloes Maathuis: maathuis@stat.math.ethz.ch
See Also
Examples
# Load example data and plot observation rectangles
data(ex)
par(mfrow=c(2,1))
plotRects(ex,main="Rectangles and maximal intersections")
# Perform reduction step and plot maximal intersections (shaded)
res<-reduc(ex, cm=TRUE)
plotRects(res$rects, density=15, border=NA, add=TRUE)
# Plot clique matrix
plotCM(res$cm, main="Clique matrix")