autoscale {structToolbox} | R Documentation

## 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)

### Examples

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

[Package structToolbox version 1.6.1 Index]