neg_max_normalization: Negative maximum normalization

In ivabudimir/meNet: Correlation-based network analysis of methylation data

Description

Performs the negative maximum normalization on a non-negative numeric vector. The resulting vector is both reversed and normalized.

Usage

neg_max_normalization(x = numeric(0))

Arguments

x	Non-negative numeric vector.

Details

For negative maximum normalization of a vector, difference between the maximum and minimal value of the vector is added tothe inverse value of every element and the result is divided with the original maximum value. Used formula: '(max(x)-min(x)-x)/max(x)'.

If the negative maximum normalization is applied twice to a non-negative vector, obtained result is the same as if the maximum normalization was applied once.

Value

Normalized numeric vector.

Examples

{
neg_max_normalization(c(1,2,3,4))
neg_max_normalization(neg_max_normalization(c(1,2,3,4)))
}

ivabudimir/meNet documentation built on Dec. 20, 2021, 8:03 p.m.