Hi I am practically new to R, and need to construct connection diagrams, I have a table of data, of nodes in vertical rows, and horizontally the number of outgoing connections to other nodes, and the indices of these nodes, each in a column, so some columns are used, and some are not, based on how many connections I have
the node is identified by these variables (dimension, wave number, partition number, index) the number of incoming and outgoing connections to each nodes varies, but obviously there is a relationship First: I need to draw diagrams of these connections Second: I need to apply regression analysis on this data, to predict a closed formula of how the 4 variables above decide how many incoming connections, and outgoing connections, and from/to which node(s) Am I making sense? if so, is this doable in R? or do I need to use other tools? If R can do it, I really need to find a tutorial or a starting link that I can follow to learn more how I can do these, sorry for being that ignorant about R, but I think I will need it a lot if it does what I need, thank you very much for your help in advance, -- Kind Regards, Manal Helal ______________________________________________ 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.