computeWienerIndex: Wiener index of a rooted binary phylo tree.
In Leonardini/treeCentrality: Computation of Network Science Statistics on Trees in Linear Time
Description
Usage
Arguments
See Also
Description
computeWienerIndex computes the Wiener index of a rooted binary phylo tree.
Usage
1
computeWienerIndex(tree, norm = FALSE, weight = FALSE)
Arguments
tree
A phylo tree; needs to be binary and rooted, but the root can be arbitrary.
norm
A logical scalar; if TRUE, the Wiener index is normalized to give the average path.
weight
A logical scalar; if TRUE, branch lengths are used; if a root edge is present, it is ignored!
See Also
Other network science-based tree shape statistics: computeBetweenness,
computeCloseness,
computeDiameter,
computeEigenvector,
computeFarness
Leonardini/treeCentrality documentation built on April 7, 2020, 3:18 p.m.
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Description Usage Arguments See Also
Description
computeWienerIndex computes the Wiener index of a rooted binary phylo tree.
Usage
1 | computeWienerIndex(tree, norm = FALSE, weight = FALSE)
|
Arguments
tree |
A phylo tree; needs to be binary and rooted, but the root can be arbitrary. |
norm |
A logical scalar; if TRUE, the Wiener index is normalized to give the average path. |
weight |
A logical scalar; if TRUE, branch lengths are used; if a root edge is present, it is ignored! |
See Also
Other network science-based tree shape statistics: computeBetweenness,
computeCloseness,
computeDiameter,
computeEigenvector,
computeFarness
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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