information_content_discrete

Calculates information content of a discrete (categorical or ordinal) vector
in bits (default) or natural units. 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

information_content_discrete function

<dl><dt>x</dt>
<dd>Input vector</dd>
<dt>unit</dt>
<dd>Unit to measure entropy. Either "bits" (default) or "nats".</dd></dl>

Arguments

Calculate Information Content (Discrete Variable) — information_content_discrete

<dl>

<dt>x</dt>
<dd>Input vector</dd>


<dt>unit</dt>
<dd>Unit to measure entropy. Either "bits" (default) or "nats".</dd>

</dl>

information_content_discrete: Calculate Information Content (Discrete Variable)

Description

Usage

Value

Arguments

Examples