Normalization of a Matrix

Description

A matrix is normalized by dividing each entry [i,j] by the square root of the product of the diagonal entries [i,i] and [j,j]. The input matrix should be a square matrix with positive diagonal entries.

Usage

mat.norm(mat)

Arguments

Value

The normalized matrix is returned.

Author(s)

Franziska Hoffgaard

Examples

a<-matrix(runif(16, 1, 15), 4, 4)
b<-mat.norm(a)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(BioPhysConnectoR)
Loading required package: snow
Loading required package: matrixcalc
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/BioPhysConnectoR/mat.norm.Rd_%03d_medium.png", width=480, height=480)
> ### Name: mat.norm
> ### Title: Normalization of a Matrix
> ### Aliases: mat.norm
> ### Keywords: utilities
> 
> ### ** Examples
> 
> a<-matrix(runif(16, 1, 15), 4, 4)
> b<-mat.norm(a)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>