measures: Abstracting Characteristics on Network Structure
In EricIto/BASiNET: BASiNET - Classification of mRNA and lncRNA sequences using complex network theory
Description
Usage
Arguments
Value
Author(s)
Description
Given a graph, it is made up of several features on the graph structure and returns a vector with the data obtained
Usage
1
measures(graph)
Arguments
graph
The complex network that will be measured
Value
Return a vector with the results of the measurements in order:
Average shortest path length, clustering Coefficient, degree, assortativity,
betweenness, standard deviation, maximum, minimum, number of motifs
size 3 and number of motifs of size 4
Author(s)
Eric Augusto Ito
EricIto/BASiNET documentation built on May 28, 2019, 12:38 p.m.
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Description Usage Arguments Value Author(s)
Description
Given a graph, it is made up of several features on the graph structure and returns a vector with the data obtained
Usage
1 | measures(graph)
|
Arguments
graph |
The complex network that will be measured |
Value
Return a vector with the results of the measurements in order: Average shortest path length, clustering Coefficient, degree, assortativity, betweenness, standard deviation, maximum, minimum, number of motifs size 3 and number of motifs of size 4
Author(s)
Eric Augusto Ito
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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