generates_normalization_function: Function to generate the data normalization function

Description Usage Arguments Value See Also Examples

View source: R/generates_transformation_function.R

Description

generates_normalization_function returns the data normalization function. The data normalization function is generated based on unit_space_data.

Usage

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generates_normalization_function(unit_space_data, unit_space_center,
  unit_space_scale, is_scaled = TRUE)

Arguments

unit_space_data

Matrix with n rows (samples) and p columns (variables). Data to generate the unit space. All data should be continuous values and should not have missing values.

unit_space_center

Vector with length p. The values are subtrahends in normalization. If missing, the mean for each column of unit_space_data is used for normalization.

unit_space_scale

Vector with length p. The values are divisors in normalization. If missing and is_scaled is TRUE, then the unbiased standard deviation for each column of unit_space_data is used for normalization.

is_scaled

Logical. If TRUE (default value), normalization is conducted by subtracting unit_space_center and dividing by unit_space_scale. If FALSE, normalization is conducted by subtracting unit_space_center only.

Value

Function is returned which takes an n x p matrix as an (only) argument and returns a normalized n x p matrix. The normalization is conducted based on unit_space_data.

See Also

MT and MTA

Examples

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# 40 data for versicolor in the iris dataset
iris_versicolor <- iris[61:100, -5]

normalizes_data <- generates_normalization_function(iris_versicolor)

is.function(normalizes_data) # TRUE

okayaa/MT documentation built on April 22, 2018, 2:30 a.m.