Frobenius normalization

This function computes the Frobenius normalization of a matrix.

Usage

frobNorm(X)

Arguments

X

Numeric matrix of any size. It may be a kernel matrix.

Value

Frobenius-normalized X (class: "matrix").

Examples

dat <- matrix(rnorm(50),ncol=5,nrow=10)
frobNorm(dat)
#>               [,1]        [,2]        [,3]        [,4]         [,5]
#>  [1,]  0.028254380 -0.11520686  0.02249378 -0.29765061  0.303494622
#>  [2,]  0.059065317 -0.04623010 -0.05011201  0.15465042  0.004367874
#>  [3,] -0.165571146  0.03482290 -0.01385694  0.01591862  0.250286393
#>  [4,]  0.028756481 -0.07391046 -0.13377437  0.04814680 -0.196196497
#>  [5,]  0.149654489 -0.07203957  0.04823676  0.12295384  0.145011550
#>  [6,]  0.006452426 -0.18308411  0.29332596  0.03656440 -0.202819288
#>  [7,]  0.016606477  0.03161400  0.16682031  0.20912053  0.224575666
#>  [8,]  0.086163760  0.18462606 -0.01228966  0.23479612  0.043267053
#>  [9,]  0.148692255  0.09515577 -0.12262399 -0.22230304  0.089424632
#> [10,]  0.053544438  0.11718586  0.01304331 -0.19787995  0.079531337