pareto_scale: Pareto scaling
In computational-metabolomics/structtoolbox: Data processing & analysis tools for Metabolomics and other omics
View source: R/paretoscale_class.R
pareto_scale R Documentation
Pareto scaling
Description
The mean sample is subtracted from all samples and then scaled by the square root of the standard deviation. The transformed data has zero mean.
Usage
pareto_scale(...)
Arguments
...
Additional slots and values passed to struct_class.
Value
A pareto_scale object with the following output slots:
scaled (DatasetExperiment)
mean (numeric)
sd (numeric)
Inheritance
A pareto_scale object inherits the following struct classes:
[pareto_scale] >> [model] >> [struct_class]
Examples
M = pareto_scale()
D = iris_DatasetExperiment()
M = pareto_scale()
M = model_train(M,D)
M = model_predict(M,D)
computational-metabolomics/structtoolbox documentation built on July 2, 2024, 10:46 p.m.
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View source: R/paretoscale_class.R
| pareto_scale | R Documentation |
Pareto scaling
Description
The mean sample is subtracted from all samples and then scaled by the square root of the standard deviation. The transformed data has zero mean.
Usage
pareto_scale(...)
Arguments
... |
Additional slots and values passed to |
Value
A pareto_scale object with the following output slots:
scaled | (DatasetExperiment) |
mean | (numeric) |
sd | (numeric) |
Inheritance
A pareto_scale object inherits the following struct classes:
[pareto_scale] >> [model] >> [struct_class]
Examples
M = pareto_scale()
D = iris_DatasetExperiment()
M = pareto_scale()
M = model_train(M,D)
M = model_predict(M,D)
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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