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()