Dieter,
there are a couple of ways to do this in igraph, eg.
you can decompose the graph into separate components with
g <- erdos.renyi.game(100, 1/100)
graphs <- decompose.graph(g)
and then you will have a list of graphs. If you assign some vertex
ids as vertex attributes then you can keep tra
On Mon, Oct 08, 2007 at 08:11:16PM -0500, [EMAIL PROTECTED] wrote:
[...]
> Dot-file format is also *ridiculously simple* to generate , which I think
> of as a factor well in its favor. :-)
This is just
write.graph(g, format="dot", file="output.dot")
in igraph.
> I hear that there's a tk-based
>> Hello there,
>>
>> I am using the igraph package to build graphs from my data. If I plot
>> a graph though, it's not easy for me to see what's going on. Does
>> anybody know how to rearrange a graph to get a plot without too many
>> crossing lines? Maybe other packages?
Edge-crossing mi
On 08/10/2007 8:27 PM, Dieter Best wrote:
> Hello there,
>
> I am using the igraph package to build graphs from my data. If I plot a
> graph though, it's not easy for me to see what's going on. Does anybody know
> how to rearrange a graph to get a plot without too many crossing lines? Maybe
graph, RBGL and Rgraphviz, all available at www.bioconductor.org
Dieter Best wrote:
> Hello there,
>
> I am using the igraph package to build graphs from my data. If I plot a
> graph though, it's not easy for me to see what's going on. Does anybody know
> how to rearrange a graph to get a
5 matches
Mail list logo
