discr.distance: Distance
In ebridge2/Discriminability: Discriminability
Description
Usage
Arguments
Value
Author(s)
Description
A function that returns a distance matrix given a collection of graphs. Note that this function uses the frobenius norm to compute the distance between all pairs of graphs.
Usage
1
discr.distance(graphs, method = "F")
Arguments
graphs:
[[n]][nroi, nroi] a collection of graphs for n subjects, where each graph is a square matrix.
method='F':
the method for computing distances.
- 'F'
use the frobenius norm between pairs of graphs
- 'H'
use the hellinger distance between pairs of graphs
Value
dist [n, n]: a matrix indicating the pairwise distances between all graphs passed in.
Author(s)
Eric Bridgeford
ebridge2/Discriminability documentation built on May 15, 2019, 7:48 p.m.
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Description Usage Arguments Value Author(s)
Description
A function that returns a distance matrix given a collection of graphs. Note that this function uses the frobenius norm to compute the distance between all pairs of graphs.
Usage
1 | discr.distance(graphs, method = "F")
|
Arguments
graphs: |
[[n]][nroi, nroi] a collection of graphs for n subjects, where each graph is a square matrix. |
method='F': |
the method for computing distances.
|
Value
dist [n, n]: a matrix indicating the pairwise distances between all graphs passed in.
Author(s)
Eric Bridgeford
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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