plot.conceptmaps {comato}

Plotting a series of concept maps

Description

plot plots a set of concept maps. The layout is determined based on the union of all concept maps, then each map is individually plotted using this fixed layout. Is escpecially useful for visualizing horizontal landscapes.

Usage

## S3 method for class 'conceptmaps'
plot(x, edge.labels = T, max.label.len = 25,
  scale = 1, layout = NULL, ...)

Arguments

x

A conceptmaps object.

edge.labels

If TRUE, the labels of edges will be plotted as well.

max.label.len

The maximal length of labels (in characters) that are plotted completely. Longer labels will be shortend by "...".

scale

Overall scaling factor that is applied to the plot.

layout

If not NULL, must be one of "fruchterman.reingold", "kamada.kawai", "spring" or "reingold.tilford". The corresponding layouting algorithm of the igraph package will be called. If it is NULL, the layouting based on communities and a circular layout will be used.

...

-

Value

-

Examples

#Create concept maps from three random graphs
require("igraph")
g1 = set.vertex.attribute(erdos.renyi.game(5, 0.7, type="gnp"), "name", value=1:5)
g2 = set.vertex.attribute(erdos.renyi.game(5, 0.7, type="gnp"), "name", value=1:5)
g3 = set.vertex.attribute(erdos.renyi.game(5, 0.7, type="gnp"), "name", value=1:5)
E(g1)$name <- rep("", length(E(g1)))
E(g2)$name <- rep("", length(E(g2)))
E(g3)$name <- rep("", length(E(g3)))
#Create conceptmaps object from three conceptmap objects
simple_cms = conceptmaps(list(conceptmap(g1), conceptmap(g2), conceptmap(g3)))

plot(simple_cms, layout="spring")