Pareto scaling

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)