mixer (version 1.3)

plot.mixer: Plot of mixer object

Description

plot.mixer can display five kinds of figure: Integrated Classification Criterion curve, the adjacency matrix map, the degree distribution histogram, the connectivity matrix graph and the adjacency matrix graph. By default the four first plots are displayed.

Usage

## S3 method for class 'mixer':
plot(x, q=NULL, frame=1:4, classes=NULL,
classes.col=NULL, quantile.val=0.1, \ldots)

Arguments

x

a mixer object (output of the mixer function).

q

the q-class model to display. By default, the q is set to the value which maximizes the criterion (see frame 1).

frame

a vector of frame numbers to display (5 kinds of plots, see details section for more).

classes

an external classification used for frame 4 (pie chart): vector as factor of node elements (the number of external class levels corresponds to the number of levels).

classes.col

a vector of user colors used to identify the classes.

quantile.val

filters the connectivity matrix values (Pis) in frame 4. Display the upper part (specified by quantile.val) of the distribution.

...

further graphical arguments.

Details

Frame values: [object Object],[object Object],[object Object],[object Object],[object Object]

See Also

mixer, getModel

Examples

#
#  Simple example : display the 4 frames for the best class number estimation
#
g <- graph.affiliation(n=100,c(1/3,1/3,1/3),0.8,0.2)
xout <- mixer(g$x,qmin=2,qmax=6)
plot(xout)

#
#  Display the same for 4 classes with no filtering
#
plot(xout, q=4, quantile.val=0)

#
#  Display a pie chart for 4 classes
#
data(blog)
xout <- mixer(x=blog$links,qmin=2,qmax=12)
#  Unconnected nodes have been removed by mixer.
#  xout$map contains the mapping from connected nodes to the whole set 
ext.classes <-  blog$politicalParty
plot( xout, frame=4, classes=ext.classes )