vec_norm {structToolbox} | R Documentation

## Vector normalisation

### Description

The samples in the data matrix are normalised to account for differences in concentration by scaling each sample such that the sum of squares is equal to 1.

### Usage

    vec_norm(...)

### Arguments

`...` | Additional slots and values passed to `struct_class`.

### Value

A `vec_norm` object with the following `output` slots:

`normalised` | (DatasetExperiment) A DatasetExperiment object containing the normalised data.
`coeff` | (data.frame) The normalisation coefficients calculated by PQN.

struct object

### Examples

    M = vec_norm()

[Package structToolbox version 1.6.1 Index]