hello all again,
Ok cool, so I got my program working to give me the matrix that and
the sna package is pretty cool. I was wondering if there is a way (a
method) to get the plot as an object, or be able to find out which nodes
are "grouped" together. This would be ultra helpful if it was a nice
simple method that gave an ID for each group and what nodes were in that
group.
thanks,
Paul
Gabor Grothendieck wrote:
> Try this:
>
> # test data
> mat <- structure(c(1, 0.325141612, 0.002109751, 0.250153137, 0.0223676,
> 1, 0.342654, 0.1987485, 0.9723831, 0.9644216, 1, 0.7391222, 0.394331,
> 0.5460461, 0.7080224, 1), .Dim = c(4L, 4L), .Dimnames = list(
> c("a", "b", "c", "d"), c("a", "b", "c", "d")))
>
> library(sna)
>
> # draw edges according to value
> gplot(mat, edge.lwd = mat, label = rownames(mat))
>
> # thresholding at 0.5
> gplot(mat > .5, label = rownames(mat))
>
>
> On 8/28/07, H. Paul Benton <[EMAIL PROTECTED]> wrote:
>
>> Hello,
>>
>> I apologise if someone has already answered this but I searched and
>> googled but didn't find anything.
>>
>> I have a matrix which gives me the similarity of each item to each
>> other. I would like to turn this matrix into something like what they
>> have in the graph package with the nodes and edges.
>> http://cran.r-project.org/doc/packages/graph.pdf . However I cannot find
>> a method to convert my matrix to an object that graph can use.
>>
>> my similarity matrix looks like:
>>
>>> sim[1:4,]
>>>
>> a b c d
>> [a] 1.000000000 0.0223676 0.9723831 0.3943310
>> [b] 0.325141612 1.0000000 0.9644216 0.5460461
>> [c] 0.002109751 0.3426540 1.0000000 0.7080224
>> [d] 0.250153137 0.1987485 0.7391222 1.0000000
>>
>> please don't get caught up with the numbers I simple made this to show.
>> I have not produce the code yet to make my similitary matrix.
>>
>> Does anyone know a method to do this or do I have to write something. :(
>> If I do any starter code :D jj. If I've read something wrong or
>> misunderstood my apologies.
>>
>> cheers,
>>
>>
>> Paul
>>
>>
>> --
>> Research Technician
>> Mass Spectrometry
>> o The
>> /
>> o Scripps
>> \
>> o Research
>> /
>> o Institute
>>
>> ______________________________________________
>> [EMAIL PROTECTED] 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.
>>
>>
>
>
>
[[alternative HTML version deleted]]
______________________________________________
[email protected] 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.
