Network object from data frame












0















I hoping to create a network object from a data frame.



The data frame is an alliance portfolio, the ties are valued and there are vertex attributes for both state A and state B



The data looks something like this



data <- data.frame(CC1 = c(2,2,2,2,2,2,20,20,20,20,20,40,40,40,40,41,41,41,42,42,70), 
CC2 = c(20,40,41,42,70,90,40,41,42,70,90,41,42,70,90,42,70,90,70,90,90),
weight=rnorm(n=21, mean=0.337, sd=0.75),
type1=c("x","x","x","x","x","x","x","x","x","x","x","y","y","y","y","z","z","z","a","a","b"),
type2=c("x","y","z","a","b","c","y","z","a","b","c","z","a","b","c","a","b","c","b","c","c"))


CC1 is State A CC2 is StateB and weight is the level of their alliance. Type 1 and Type 2 are attributes of CC1 and CC2 respectively.



I have been successful in creating a adjacency matrix, but trying to creating a network object give me the error "argument is not a matrix"



nodes=unique(c(data[,1],data[,2]))
g=graph.data.frame(data, directed=F, vertices=nodes)
a=as_adjacency_matrix(g,attr = "weight",sparse = T)
n=network(a, directed=FALSE, loops=FALSE)


Ultimately I'm trying to create a network object so I can run an ergm model and include a nodematch for type.










share|improve this question























  • n=network(as.matrix(a), directed=FALSE, loops=FALSE) works.

    – G5W
    Nov 15 '18 at 19:13
















0















I hoping to create a network object from a data frame.



The data frame is an alliance portfolio, the ties are valued and there are vertex attributes for both state A and state B



The data looks something like this



data <- data.frame(CC1 = c(2,2,2,2,2,2,20,20,20,20,20,40,40,40,40,41,41,41,42,42,70), 
CC2 = c(20,40,41,42,70,90,40,41,42,70,90,41,42,70,90,42,70,90,70,90,90),
weight=rnorm(n=21, mean=0.337, sd=0.75),
type1=c("x","x","x","x","x","x","x","x","x","x","x","y","y","y","y","z","z","z","a","a","b"),
type2=c("x","y","z","a","b","c","y","z","a","b","c","z","a","b","c","a","b","c","b","c","c"))


CC1 is State A CC2 is StateB and weight is the level of their alliance. Type 1 and Type 2 are attributes of CC1 and CC2 respectively.



I have been successful in creating a adjacency matrix, but trying to creating a network object give me the error "argument is not a matrix"



nodes=unique(c(data[,1],data[,2]))
g=graph.data.frame(data, directed=F, vertices=nodes)
a=as_adjacency_matrix(g,attr = "weight",sparse = T)
n=network(a, directed=FALSE, loops=FALSE)


Ultimately I'm trying to create a network object so I can run an ergm model and include a nodematch for type.










share|improve this question























  • n=network(as.matrix(a), directed=FALSE, loops=FALSE) works.

    – G5W
    Nov 15 '18 at 19:13














0












0








0








I hoping to create a network object from a data frame.



The data frame is an alliance portfolio, the ties are valued and there are vertex attributes for both state A and state B



The data looks something like this



data <- data.frame(CC1 = c(2,2,2,2,2,2,20,20,20,20,20,40,40,40,40,41,41,41,42,42,70), 
CC2 = c(20,40,41,42,70,90,40,41,42,70,90,41,42,70,90,42,70,90,70,90,90),
weight=rnorm(n=21, mean=0.337, sd=0.75),
type1=c("x","x","x","x","x","x","x","x","x","x","x","y","y","y","y","z","z","z","a","a","b"),
type2=c("x","y","z","a","b","c","y","z","a","b","c","z","a","b","c","a","b","c","b","c","c"))


CC1 is State A CC2 is StateB and weight is the level of their alliance. Type 1 and Type 2 are attributes of CC1 and CC2 respectively.



I have been successful in creating a adjacency matrix, but trying to creating a network object give me the error "argument is not a matrix"



nodes=unique(c(data[,1],data[,2]))
g=graph.data.frame(data, directed=F, vertices=nodes)
a=as_adjacency_matrix(g,attr = "weight",sparse = T)
n=network(a, directed=FALSE, loops=FALSE)


Ultimately I'm trying to create a network object so I can run an ergm model and include a nodematch for type.










share|improve this question














I hoping to create a network object from a data frame.



The data frame is an alliance portfolio, the ties are valued and there are vertex attributes for both state A and state B



The data looks something like this



data <- data.frame(CC1 = c(2,2,2,2,2,2,20,20,20,20,20,40,40,40,40,41,41,41,42,42,70), 
CC2 = c(20,40,41,42,70,90,40,41,42,70,90,41,42,70,90,42,70,90,70,90,90),
weight=rnorm(n=21, mean=0.337, sd=0.75),
type1=c("x","x","x","x","x","x","x","x","x","x","x","y","y","y","y","z","z","z","a","a","b"),
type2=c("x","y","z","a","b","c","y","z","a","b","c","z","a","b","c","a","b","c","b","c","c"))


CC1 is State A CC2 is StateB and weight is the level of their alliance. Type 1 and Type 2 are attributes of CC1 and CC2 respectively.



I have been successful in creating a adjacency matrix, but trying to creating a network object give me the error "argument is not a matrix"



nodes=unique(c(data[,1],data[,2]))
g=graph.data.frame(data, directed=F, vertices=nodes)
a=as_adjacency_matrix(g,attr = "weight",sparse = T)
n=network(a, directed=FALSE, loops=FALSE)


Ultimately I'm trying to create a network object so I can run an ergm model and include a nodematch for type.







r networking igraph






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 15 '18 at 18:12









DJ1648DJ1648

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  • n=network(as.matrix(a), directed=FALSE, loops=FALSE) works.

    – G5W
    Nov 15 '18 at 19:13



















  • n=network(as.matrix(a), directed=FALSE, loops=FALSE) works.

    – G5W
    Nov 15 '18 at 19:13

















n=network(as.matrix(a), directed=FALSE, loops=FALSE) works.

– G5W
Nov 15 '18 at 19:13





n=network(as.matrix(a), directed=FALSE, loops=FALSE) works.

– G5W
Nov 15 '18 at 19:13












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