​Hi:
I tried the outer function but I couldn't fix it.
The solution you suggest is another way of generate homophilia matrices
(linking vertices with equal characteristics). Actually what I need is to
generate links between all the nodes and those that have a specific
attribute, as:
  A A B B B
A 0 1 1 1 1
A 1 0 1 1 1
B 1 1 0 0 0
B 1 1 0 0 0
B 1 1 0 0 0

Any ideas?
thank you very much!


--------

*Sebastián Goinheix*Instituto de Economía - UdelaR
Tel: 24001369 (int. 116)
*Por favor, evite imprimir este correo.*

2016-12-21 23:24 GMT-03:00 Sebastián Goinheix <[email protected]>:

> Thanks George
>
>
> --------
>
> *Sebastián Goinheix*Instituto de Economía - UdelaR
> Tel: 24001369 (int. 116)
> *Por favor, evite imprimir este correo.*
>
> 2016-12-21 16:33 GMT-03:00 George Vega Yon <[email protected]>:
>
>> Does this works?
>>
>> rm(list=ls())
>>
>> x   <- c("A", "A", "B", "B", "B")
>> mat <- outer(x, x, "==")
>> mat[] <- as.integer(mat)
>>
>> dimnames(mat) <- list(x,x)
>> mat
>>
>> > mat
>>   A A B B B
>> A 1 1 0 0 0
>> A 1 1 0 0 0
>> B 0 0 1 1 1
>> B 0 0 1 1 1
>> B 0 0 1 1 1
>>
>> Best,
>>
>> George G. Vega Yon
>> +1 (626) 381 8171 <(626)%20381-8171>
>> http://cana.usc.edu/vegayon
>>
>> On Wed, Dec 21, 2016 at 9:21 AM, Sebastián Goinheix <[email protected]>
>> wrote:
>>
>>> Hi,
>>> ​​
>>> ​
>>> ​
>>> ​​
>>> I want to perform network regresion with QAP procedure (netlm function
>>> of sna package).
>>> ​I ​have matrices with some inter-organizational relations, and with
>>> ​calculated matrices for homophily hypotheses through the
>>> bipartite.projection function.
>>> But now I need a matrix that contains links from all nodes to those that
>>>  have a specific attribute, say "A". For example:
>>>
>>> nodes attributes
>>> 1 A
>>> 2 A
>>> 3 B
>>> 4 B
>>> 5 B
>>>
>>> Therefore, the resulting adjacency matrix will be:
>>>
>>>   1 2 3 4 5
>>> 1 0 1 1 1 1
>>> 2 1 0 1 1 1
>>> 3 1 1 0 0 0
>>> 4 1 1 0 0 0
>>> 5 1 1 0 0 0
>>> ​​
>>>
>>> ​​
>>> I assume the sample_pa function will not work since the network is
>>> based on vertex attributes
>>>  and​
>>>  the model should not be random
>>> ​.​
>>>
>>> How can I get it in Igraph (or other)?
>>> Thanks
>>>
>>>
>>> --------
>>>
>>> *Sebastián Goinheix*Instituto de Economía - UdelaR
>>> Tel: 24001369 (int. 116)
>>> *Por favor, evite imprimir este correo.*
>>>
>>>
>>> _______________________________________________
>>> igraph-help mailing list
>>> [email protected]
>>> https://lists.nongnu.org/mailman/listinfo/igraph-help
>>>
>>>
>>
>> _______________________________________________
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>>
>
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