Thanks for the reply. Two things - I must have something missing because copying and pasting your example gave me an error
... your definitions of nn Output = do.call(as.data.frame(rbind),nn) Error in as.data.frame.default(rbind) : cannot coerce class '"function"' into a data.frame The second is the need, and why I'm not sure this is the best way. This is to customize the flow charting library code from the library 'diagram' to use a node-and-link characterization of a network - think PERT charts or perhaps linking river segments in a water quality model. Each Node will be a, say, circle and has attributes of being connected up to one or more upstream nodes and down to one or more downstream nodes. So the Connect.up column is a vector up upstream connections, usually one but sometimes > one, and likewise Connect.down. There is an accompanying table of links with attributes of which nodes are at each end of a link and other metadata that describe the link (e.g. the length of time required to traverse the link, its name etc. That said, my thought was that the situation was too simple to fire up a full-blown object system beyond what R provides natively. I guess it's like making a data frame that has some 3-d elements. On 2/3/2012 9:32 PM, Pete Brecknock wrote: > nn=list() > > nn[[1]] = list(Node = "1", Connect.up = c(NULL), Connect.down = c(2,3)) > nn[[2]] = list(Node = "2", Connect.up = c(1), Connect.down = c(4,5)) > nn[[3]] = list(Node = "3", Connect.up = c(NULL), Connect.down = c(2,3)) > nn[[4]] = list(Node = "4", Connect.up = c(1), Connect.down = c(4,5)) > > Output = do.call(as.data.frame(rbind),nn) -- David K Stevens, P.E., Ph.D., Professor Civil and Environmental Engineering Utah Water Research Laboratory 8200 Old Main Hill Logan, UT 84322-8200 435 797 3229 - voice 435 797 1363 - fax david.stev...@usu.edu [[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.