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 track of which vertex is in which component: V(g)$label <- seq(vcount(g)) graphs <- decompose.graph(g) and eg. to plot the largest component: largest <- which.max(sapply(graphs, vcount)) plot(graphs[[largest]], layout=layout.fruchterman.reingold) Or you can use a layout algorithm which is not troubled by the unconnected graph, like Fruchterman-Reingold: plot(g, layout=layout.fruchterman.reingold) Gabor On Mon, Oct 08, 2007 at 05:27:52PM -0700, 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 > other packages? > > Thanks a lot in advance for any pointers, > > -- D > > > > > > --------------------------------- > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Csardi Gabor <[EMAIL PROTECTED]> MTA RMKI, ELTE TTK ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
