constant_sum_norm: Normalisation to constant sum

In computational-metabolomics/structtoolbox: Data processing & analysis tools for Metabolomics and other omics

Normalisation to constant sum

Description

Each sample is normalised such that the total signal is equal to one (or a scaling factor if specified).

Usage

constant_sum_norm(scaling_factor = 1, ...)

Arguments

scaling_factor	(numeric) The scaling factor applied after normalisation. The default is 1.
...	Additional slots and values passed to struct_class.

Value

A constant_sum_norm object with the following output slots:

normalised	(DatasetExperiment) A DatasetExperiment object containing the normalised data.
coeff	(data.frame) The sum of each row, used to normalise the samples.

Inheritance

A constant_sum_norm object inherits the following struct classes:

⁠[constant_sum_norm]⁠ >> ⁠[model]⁠ >> ⁠[struct_class]⁠

Examples

M = constant_sum_norm(
      scaling_factor = 1)

M = constant_sum_norm()

computational-metabolomics/structtoolbox documentation built on July 2, 2024, 10:46 p.m.