Description Usage Arguments Details Value See Also Examples
Mimics the output of the
qgraph::centralityTable
and
qgraph::clusteringTable
functions. The
purpose of revising these function was to make them compatible with outputs
from the modnets
package.
1 2 3 4 5 6 7 8 9 10 11 |
Wmats |
Output from one of the primary |
scale |
Logical. Determines whether to standardize values within each measure (i.e., convert to z-scores). |
which.net |
Only applies to SUR networks, as well as those fit with the
|
labels |
Character vector to input the names of the nodes. If left
|
relative |
Logical. Determines whether to scale values within each measure relative to the largest value within that measure. |
weighted |
Logical. If |
signed |
Logical. Determines whether to ignore the signs of edges or not. Primarily affects the output for expected influence statistics. |
For centTable
, centrality values can be computed for the matrix
of interactions within a temporal network.
A table containing the names of nodes, measures of node centrality, and their corresponding centrality values or clustering coefficients.
1 2 3 4 | x <- fitNetwork(gvarDat, 'M', lags = TRUE)
clustTable(x)
centTable(x, which.net = 'interactions')
|
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