On Wed, 14 Nov 2007, Manal Helal wrote:
> Dimn Waves Tot. Parts In Wave Wave No Serial Index W Order > M > Index DepTot. D1-Serial D1-Index D1-Order D1-M > Index D2-Serial D2-Index D2-Order D2-M Index > 2 7 1 0 1 0 0 <0, 0> 2 2 > 18 0 <4, 4> 3 2 1 <2, 0> > 2 7 2 1 2 18 0 <4, 4> 2 4 > 20 0 <2, 2> 5 36 1 <0, 4> > following the tutorial on SNA, I see that I need to convert that into > adjacency matrix to start plotting the graph, and I can not see how I > can do that, Into one adjacency matrix -- you probably can't. [And, I think, probably don't really want to do that...] What you might be able to do is figure out what your actual actors are... the entities that are connected to each other... and use them (just them... or their relations...] to build your adjacency matrix. With your matrix in hand, you will want to keep track of those other variables... there are a lotta ways you could go about this, and there are a lot of decisions to affect your implementation. In the 'sna' package, look at the graph stack data structure. [m x N x N dimension -- an array of adjacency matrices.... which could be attributed values rather than 0/1 boolean is-connected assertions.] You might be best served by a series of plots, each taking into account a different combination of your available data variables. It almost sounds fun, doesn't it? :-) Not really familiar enough with your data to make many more suggestions. It sounds like your data structure is pretty nontrivial... maybe there are ways you can break it down into pieces that you can manage more easily, for your own sake? best, --elijah ______________________________________________ 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.
