igraph (version 0.6-1)

plot.igraph: Plotting of graphs

Description

plot.graph is able to plot graphs to any R device. It is the non-interactive companion of the tkplot function.

Usage

## S3 method for class 'igraph':
plot(x, axes=FALSE, xlab="", ylab="", add=FALSE,
      xlim=c(-1,1), ylim=c(-1,1), main="", sub="",
      mark.groups=list(), mark.shape=1/2, mark.border=NA,
      mark.col=rainbow(length(mark.groups), alpha=0.3),
      mark.expand=15, 
      ...)

Arguments

x

The graph to plot.

axes

Logical, whether to plot axes, defaults to FALSE.

xlab

The label of the horizontal axis. Defaults to the empty string.

ylab

The label of the vertical axis. Defaults to the empty string.

add

Logical scalar, whether to add the plot to the current device, or delete the device's current contents first.

xlim

The limits for the horizontal axis, it is unlikely that you want to modify this.

ylim

The limits for the vertical axis, it is unlikely that you want to modify this.

main

Main title.

sub

Subtitle.

mark.groups

A list of vertex id vectors. It is interpreted as a set of vertex groups. Each vertex group is highlighted, by plotting a colored smoothed polygon around and under it. See the arguments below to control the look of the polygon

mark.shape

A numeric scalar or vector. Controls the smoothness of the vertex group marking polygons. This is basically the shape parameter of the xspline function, its possible val

mark.border

A scalar or vector giving the colors of the borders of the vertex group marking polygons. If it is NA, then no border is drawn.

mark.col

A scalar or vector giving the colors of marking the polygons, in any format accepted by xspline; e.g. numeric color ids, symbolic color names, or colors in RGB.

mark.expand

A numeric scalar or vector, the size of the border around the marked vertex groups. It is in the same units as the vertex sizes. If a vector is given, then different values are used for the different vertex groups.

...

Additional arguments, passed to plot.

Value

• Returns NULL, invisibly.

concept

Visualization

Details

One convenient way to plot graphs is to plot with tkplot first, handtune the placement of the vertices, query the coordinates by the tkplot.getcoords function and use them with plot to plot the graph to any R device.

See Also

layout for different layouts, igraph.plotting for the detailed description of the plotting parameters and tkplot and rglplot for other graph plotting functions.

Examples

g <- graph.ring(10)
plot(g, layout=layout.kamada.kawai, vertex.color="green")