modnets (version 0.9.0)

CentralityAndClustering: Create table of centrality values or clustering coefficients

Description

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.

Usage

centTable(
  Wmats,
  scale = TRUE,
  which.net = "temporal",
  labels = NULL,
  relative = FALSE,
  weighted = TRUE,
  signed = TRUE
)
clustTable(Wmats, scale = TRUE, labels = NULL, relative = FALSE, signed = TRUE)

Arguments

Wmats

Output from one of the primary modnets functions.

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 mlGVAR function. Character string to indicate which type of network to compute centrality values for. Options are "temporal" for the temporal network, "contemporaneous" for the contemporaneous network, "PDC" for the partial directed correlation network, and "interactions" for the temporal interaction network.

labels

Character vector to input the names of the nodes. If left NULL, the function defaults to the node names specified by the model.

relative

Logical. Determines whether to scale values within each measure relative to the largest value within that measure.

weighted

Logical. If TRUE then results are converted to an unweighted network.

signed

Logical. Determines whether to ignore the signs of edges or not. Primarily affects the output for expected influence statistics.

Value

A table containing the names of nodes, measures of node centrality, and their corresponding centrality values or clustering coefficients.

Details

For centTable, centrality values can be computed for the matrix of interactions within a temporal network.

See Also

centAuto, clustAuto, centPlot, clustPlot, plotCentrality, qgraph::centralityTable, qgraph::clusteringTable

Examples

# NOT RUN {
x <- fitNetwork(gvarDat, 'M', lags = TRUE)

clustTable(x)
centTable(x, which.net = 'interactions')
# }