Ensures that networks conform to the tnet stardards
Checks that a network conforms to the tnet stardards, and attaches a label. If the type parameter is not set, the network is assumed to be a binary two-mode network, a weighted one-mode network, or a longitudinal network if there are 2, 3, or 4 columns respectively. Moreover, if a matrix is entered (more than 4 columns and rows), it is assumed to be a weighted one-mode network if square or a two-mode network if non-square.
as.tnet(net, type=NULL)
net |
A network in an edgelist or matrix format. It can be a weighted one-mode network, a binary two-mode network, a weighted two-mode netork, or a longitudinal network. If the data-object has two-columns, it is assumed to be a binary two-mode network; three columns, weighted one-mode network; four columns, longitudinal; five or more and the same number of rows and columns, weighted one-mode network; five or more and –not– the same number of rows and columns, it is assumed to be a two-mode network. |
type |
If you would like to specify the type of network. This could be “weighted one-mode tnet”, “binary two-mode tnet”, “weighted two-mode tnet”, or “longitudinal tnet”. |
Returns the network with an attached label.
version 1.0.0, taken, with permission, from package tnet
Tore Opsahl; https://toreopsahl.com
## Load sample data sample <- rbind( c(1,2,4), c(1,3,2), c(2,1,4), c(2,3,4), c(2,4,1), c(2,5,2), c(3,1,2), c(3,2,4), c(4,2,1), c(5,2,2), c(5,6,1), c(6,5,1)) ## Run the programme as.tnet(sample)
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