encode_bin_cat_vec

In a character vector, converts binary categories to factor levels.

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

encode_bin_cat_vec function

<dl><dt>x</dt>
<dd>non-numeric input vector</dd>
<dt>values</dt>
<dd>Optional named vector of user-defined values for binary values
using <code>binary_label_1 = binary_label_2</code> syntax (e.g. <code>c("No" =
"Yes")</code> would assign level 1 to "No" and 2 to "Yes").</dd>
<dt>numeric_out</dt>
<dd>If true, numeric vector is returned. If false, factor is
returned.</dd></dl>

Arguments

Encode a categorical vector with binary categories — encode_bin_cat_vec

<dl>

<dt>x</dt>
<dd>non-numeric input vector</dd>


<dt>values</dt>
<dd>Optional named vector of user-defined values for binary values
using <code>binary_label_1 = binary_label_2</code> syntax (e.g. <code>c("No" =
"Yes")</code> would assign level 1 to "No" and 2 to "Yes").</dd>


<dt>numeric_out</dt>
<dd>If true, numeric vector is returned. If false, factor is
returned.</dd>

</dl>

encode_bin_cat_vec: Encode a categorical vector with binary categories

Description

Usage

Value

Arguments

Details