[R] connection diagram

elw at stderr.org elw at stderr.org
Tue Nov 13 03:00:45 CET 2007



hi,

You should probably be looking at the functions in the following packages:

sna
network(s)
graph
dynamicgraph
mathgraph
igraph
Matrix

and a few others ;)

what you're describing sounds like, to my ear, a restricted social network 
diagram;  many of the problems you describe are typical of such problems, 
and are accounted for in the packages described above.

The most difficult part is likely to be the plots;  handling an annotated, 
weighted, complex network is fairly straightforward in terms of data 
handling and analytic tools (e.g. regressions on networks are common...).

--elijah




On Tue, 13 Nov 2007, Manal Helal wrote:

> Date: Tue, 13 Nov 2007 12:44:16 +1100
> From: Manal Helal <manalorama at gmail.com>
> To: r-help at r-project.org
> Subject: [R] connection diagram
> 
> 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,
>
>
>



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