| nodes.net_usem | R Documentation |
One row per node per network with strength (sum of absolute incident edge
weights) and, for directed networks, out_strength / in_strength
(NA for undirected). Self-loops are excluded.
## S3 method for class 'net_usem'
nodes(x, ...)
## S3 method for class 'var_result'
nodes(x, ...)
nodes(x, ...)
## S3 method for class 'netobject'
nodes(x, ...)
## S3 method for class 'netobject_group'
nodes(x, ...)
## S3 method for class 'gvar_result'
nodes(x, ...)
## S3 method for class 'net_mlvar'
nodes(x, ...)
## S3 method for class 'net_gimme'
nodes(x, ...)
## S3 method for class 'var_list'
nodes(x, ...)
## S3 method for class 'gvar_list'
nodes(x, ...)
x |
A |
... |
Passed to methods. |
A tidy data.frame.
W <- matrix(c(0, 0.3, -0.2, 0), 2, 2,
dimnames = list(c("A", "B"), c("A", "B")))
x <- structure(list(weights = W, method = "relative", directed = TRUE),
class = "cograph_network")
nodes(as_netobject(x))
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