mi_content_discrete

Calculates mutual information content between two variables in bits. Missing
values are omitted from the calculation.

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

mi_content_discrete function

<dl><dt>x</dt>
<dd>First variable</dd>
<dt>y</dt>
<dd>Second variable</dd></dl>

Arguments

Calculate Mutual Information Content — mi_content_discrete

<dl>

<dt>x</dt>
<dd>First variable</dd>


<dt>y</dt>
<dd>Second variable</dd>

</dl>

mi_content_discrete: Calculate Mutual Information Content

Description

Usage

Value

Arguments

Examples