constant_sum_norm: Normalisation to constant sum

View source: R/constant_sum_norm_class.R

constant_sum_normR Documentation

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 5, 2024, 12:18 p.m.