zero_entropy_variables

Calculates Shannon entropy of variables in a data frame in bits (default) or
natural units. Missing values are omitted from the calculation.
Names of variables with zero entropy are returned.

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

zero_entropy_variables function

<dl><dt>data</dt>
<dd>Data Frame to compute on</dd>
<dt>unit</dt>
<dd>Unit to measure entropy. Either "bits" (default) or "nats".</dd></dl>

Arguments

Identify variables with zero entropy — zero_entropy_variables

<dl>

<dt>data</dt>
<dd>Data Frame to compute on</dd>


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

</dl>

zero_entropy_variables: Identify variables with zero entropy

Description

Usage

Value

Arguments

References

Examples