On 9/10/2007, at 12:04 PM, H. Paul Benton wrote: > Hello all, > > I'm having a spot of trouble. I have made a very nice distance > matrix from some comparison calculations. However, the matrix is > 3096 x > 3096, so it's relatively large. Currently I'm using the svn package as > it seems to work for my data. The graph package errors and says the > "adjacency matrix must be symmetric for undirected graphs". I though > 3096 x 3096 was symmetric??
NO!!!! That's ***square***, not symmetric. To be symmetric a matrix must satisfy a[i,j] = a[j,i] for all i and j. In terms of distance, that says that the distance from A to B is the same as the distance from B to A. This is often (almost always?) expected of a distance measure. If your distance measure is or should be symmetric, then there is something wrong with your distance matrix. It could simply be a matter of numerical noise or it could be a programming error. If it really makes sense that your distances are not symmetric, then you're stuck with using svn or something else that handles asymmetry. I know nothing about this area so don't ask ***me***! > However, the with the svn package the gplot command has been > running for > 6hr's now and no end in sight :) . Is there another package that i can > use or a way to speed up the analysis, or even another way of > displaying > the data than the nodes and edges plot? Off hand I would've thought that ***any*** display base on a 3096 x 3096 matrix would be totally opaque no matter how it was structured. As the signature file of someone who posts regularly to this list says ``What problem are you trying to solve?'' cheers, Rolf Turner ###################################################################### Attention:\ This e-mail message is privileged and confid...{{dropped:9}} ______________________________________________ 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.