normalize

Normalizes values in <code>x</code> to be between 0 and 1 using min-max
normalization.

A tool for the preparation and enrichment of health datasets for analysis (Toner et al. (2023) <doi:10.1093/gigascience/giad030>). Provides functionality for assessing data quality and for improving the reliability and machine interpretability of a dataset.
'eHDPrep' also enables semantic enrichment of a dataset where metavariables are discovered from the relationships between input variables determined from user-provided ontologies.

Ian Overton

eHDPrep

Quality Control and Semantic Enrichment of Datasets

Tom Toner

normalize function

<dl><dt>x</dt>
<dd>numeric vector</dd>
<dt>na.rm</dt>
<dd>a logical indicating whether missing values should be removed. Default = TRUE.</dd></dl>

Arguments

Min max normalization — normalize

<dl>

<dt>x</dt>
<dd>numeric vector</dd>


<dt>na.rm</dt>
<dd>a logical indicating whether missing values should be removed. Default = TRUE.</dd>

</dl>

normalize: Min max normalization

Description

Usage

Value

Arguments