vec_norm: Vector normalisation
In computational-metabolomics/structtoolbox: Data processing & analysis tools for Metabolomics and other omics
View source: R/vec_norm_class.R
vec_norm 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
Inheritance
A vec_norm object inherits the following struct classes:
[vec_norm] >> [model] >> [struct_class]
Examples
M = vec_norm()
M = vec_norm()
computational-metabolomics/structtoolbox documentation built on July 2, 2024, 10:46 p.m.
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View source: R/vec_norm_class.R
| vec_norm | 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 |
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
Inheritance
A vec_norm object inherits the following struct classes:
[vec_norm] >> [model] >> [struct_class]
Examples
M = vec_norm()
M = vec_norm()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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