CODEWITHSUNDEEP
rggnetwork
Micah
Micah

Reputation: 10395

ggnetwork data import format

I can't for the life of me figure out how to structure my data for use in ggnetwork.

I have a separate program that can generate structured data in any format i choose. Given that ggnetwork data can be

How can i import these? Let's go one at a time here--

Adjancency Data

This part i got-- i just create a matrix via code like

data <- matrix(c(1,0,3,0,5,6,1,2,3), nrow=3)
colnames(data)=rownames(data)=LETTERS[1:3]

net <- network(data, matrix.type="adjacency")

Doable. Straightforward.

Node Attributes

In the example here i see this code:

n <- network(rgraph(10, tprob = 0.2), directed = FALSE)
n %v% "family" <- sample(letters[1:3], 10, replace = TRUE)
n %v% "importance" <- sample(1:3, 10, replace = TRUE)

I have no idea what the n %v% does, but i'd like to be able to do a dump of node id, attribute val and just import that in to my nodes.

Edge Values

Again, in the example i see

e <- network.edgecount(n)
set.edge.attribute(n, "type", sample(letters[24:26], e, replace = TRUE))
set.edge.attribute(n, "day", sample(1:3, e, replace = TRUE))

But i don't know what that means, or how i can add this data via appending it to my adjacency list, since that is already 1-1 data mapping to edges.

How can I make an import for my edges with their vals, and an import for my nodes vals?

Upvotes: 0

Views: 211

Answers (1)

MrSmithGoesToWashington
MrSmithGoesToWashington

Reputation: 1076

Assuming 

(1,0,3,0,5,6,1,2,3)

Are your imorted values, you can try this :

imported_values <-  c(1,0,3,0,5,6,1,2,3)
data <- matrix(imported_values, nrow=3)
colnames(data)=rownames(data)=LETTERS[1:3]
net <- network(data, matrix.type="adjacency")
net %v% "importance" <- imported_values
ggplot(net, aes(x = x, y = y, xend = xend, yend = yend)) +
  geom_edges() +
  geom_nodes(aes(size = importance)) +
  theme_blank()

Upvotes: 0

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