normalize: normalize

In snnR: Sparse Neural Networks for Genomic Selection in Animal Breeding

Description

Internal function for normalizing the data.

Usage

normalize(x, base, spread)

Arguments

x	A vector or matrix that needs to be normalized.
base	If x is a vector, base is the minimum of x. If x is a matrix, base is a vector with the minimum for each of the columns of the matrix x.
spread	If x is a vector, spread=base-max(x). If x is a matrix, spread is a vector calculated for each of the columns of x.

Details

z=2*(x-base)/spread - 1

Value

A vector or matrix with the resulting normalized values.

snnR documentation built on May 2, 2019, 8:54 a.m.