clusteringCoef: Calculate the clustering coefficient of each node.
In haimbar/betaMix: Detect Edges in Co-expression Graphs
clusteringCoef R Documentation
Calculate the clustering coefficient of each node.
Description
Calculate the clustering coefficient of each node.
Usage
clusteringCoef(A)
Arguments
A
an adjacency Matrix (0/1).
Value
A vector with the clustering coefficient of each node.
Examples
## Not run:
data(SIM,package = "betaMix")
res <- betaMix(betaMix::SIM, maxalpha = 1e-6,ppr = 0.01,subsamplesize = 30000, ind=TRUE)
adjMat <- getAdjMat(res)
clusteringCoef(adjMat)
## End(Not run)
haimbar/betaMix documentation built on Jan. 3, 2023, 12:54 p.m.
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| clusteringCoef | R Documentation |
Calculate the clustering coefficient of each node.
Description
Calculate the clustering coefficient of each node.
Usage
clusteringCoef(A)
Arguments
A |
an adjacency Matrix (0/1). |
Value
A vector with the clustering coefficient of each node.
Examples
## Not run: data(SIM,package = "betaMix") res <- betaMix(betaMix::SIM, maxalpha = 1e-6,ppr = 0.01,subsamplesize = 30000, ind=TRUE) adjMat <- getAdjMat(res) clusteringCoef(adjMat) ## End(Not run)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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