clusteringCoef: Calculate the clustering coefficient of each node.
In haimbar/edgefinder: Detect Edges in Sparse Co-expression Graphs
Description
Usage
Arguments
Value
Examples
Description
Calculate the clustering coefficient of each node.
Usage
1
Arguments
A
an adjacency Matrix (0/1).
Value
A vector with the clustering coefficient of each node.
Examples
1
2
3
data(WT)
WTres <- edgefinder(WT, ttl = "Wild Type")
clusteringCoef(WTres$AdjMat)
haimbar/edgefinder documentation built on Dec. 20, 2021, 2:45 p.m.
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Description Usage Arguments Value Examples
Description
Calculate the clustering coefficient of each node.
Usage
1 |
Arguments
A |
an adjacency Matrix (0/1). |
Value
A vector with the clustering coefficient of each node.
Examples
1 2 3 | data(WT)
WTres <- edgefinder(WT, ttl = "Wild Type")
clusteringCoef(WTres$AdjMat)
|
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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