autoscale: Autoscaling

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

Autoscaling

Description

Each variable/feature is mean centred and scaled by the standard deviation. The transformed variables have zero-mean and unit-variance.

Usage

autoscale(mode = "data", ...)

Arguments

mode	(character) Mode of action. Allowed values are limited to the following: "data": Autoscaling is applied to the data matrix only. "sample_meta": Autoscaling is applied to the sample_meta data only. "both": Autoscaling is applied to both the data matrix and the meta data. The default is "data".
...	Additional slots and values passed to struct_class.

Value

A autoscale object with the following output slots:

autoscaled	(DatasetExperiment)
mean_data	(numeric)
sd_data	(numeric)
mean_sample_meta	(numeric)
sd_sample_meta	(numeric)

Inheritance

A autoscale object inherits the following struct classes:

⁠[autoscale]⁠ >> ⁠[model]⁠ >> ⁠[struct_class]⁠

Examples

M = autoscale(
      mode = "data")

D = iris_DatasetExperiment()
M = autoscale()
M = model_train(M,D)
M = model_predict(M,D)

computational-metabolomics/structToolbox documentation built on Feb. 12, 2024, 2:15 a.m.