distance: Distance
In NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis
distance R Documentation
Distance
Description
Computes distance matrix of the network
Usage
distance(A, weighted = FALSE)
Arguments
A
An adjacency matrix of network data
weighted
Is the network weighted?
Defaults to FALSE.
Set to TRUE for weighted measure of distance
Value
A distance matrix of the network
Author(s)
Alexander Christensen <alexpaulchristensen@gmail.com>
References
Rubinov, M., & Sporns, O. (2010).
Complex network measures of brain connectivity: Uses and interpretations.
NeuroImage, 52, 1059-1069.
Examples
# Pearson's correlation only for CRAN checks
A <- TMFG(neoOpen, normal = FALSE)$A
#Unweighted
Du <- distance(A)
#Weighted
Dw <- distance(A, weighted = TRUE)
NetworkToolbox documentation built on June 8, 2025, 11:40 a.m.
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| distance | R Documentation |
Distance
Description
Computes distance matrix of the network
Usage
distance(A, weighted = FALSE)
Arguments
A |
An adjacency matrix of network data |
weighted |
Is the network weighted?
Defaults to |
Value
A distance matrix of the network
Author(s)
Alexander Christensen <alexpaulchristensen@gmail.com>
References
Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. NeuroImage, 52, 1059-1069.
Examples
# Pearson's correlation only for CRAN checks
A <- TMFG(neoOpen, normal = FALSE)$A
#Unweighted
Du <- distance(A)
#Weighted
Dw <- distance(A, weighted = TRUE)
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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