frobenius.metric: Calculates the Frobenius metric

In RomanSchefzik/DNT: Differential network tests

Calculates the Frobenius metric

Description

This function calculates the Frobenius metric between two adjacency matrices of the same dimension.

Usage

frobenius.metric(A, B)

Arguments

A, B	adjacency matrices of the same dimension

Details

This function calculates the Frobenius metric between two adjacency matrices of the same dimension. The Frobenius metric is an overall characteristic that can be employed to compare two networks.

Value

the Frobenius metric between the two adjacency matrices A and B

Examples

A<-create.adjacency.matrix(ExDataA,methodlist=list("Spearman"))
B<-create.adjacency.matrix(ExDataB,methodlist=list("Spearman"))
frobenius.metric(A,B)

RomanSchefzik/DNT documentation built on Sept. 11, 2022, 10:29 p.m.