resolve_frequencies

internal

Unifying an inconsistently coded categorical variable between two different time points in accordance with a mapping table.
The main rule is to replicate the observation if it could be assigned to a few categories.
Then using frequencies or statistical methods to approximate the probabilities of being assigned to each of them.
This procedure was invented and implemented in the paper by Nasinski, Majchrowska, and Broniatowska (2020) <doi:10.24425/cejeme.2020.134747>.

Maciej Nasinski

cat2cat

Handling an Inconsistently Coded Categorical Variable in a
Longitudinal Dataset

resolve_frequencies function

<dl><dt>cat_base_year</dt>
<dd>`data.frame` a base period dataset.</dd>
<dt>cat_var_base</dt>
<dd>`character(1)` name of the base period
categorical variable.</dd>
<dt>freqs_df</dt>
<dd>`data.frame` with 2 columns, the first one with category
and second with counts.</dd>
<dt>multiplier_var</dt>
<dd>`character(1)` name of the multiplier variable.</dd></dl>

Arguments

Resolve the frequencies — resolve_frequencies

<dl>

<dt>cat_base_year</dt>
<dd>`data.frame` a base period dataset.</dd>


<dt>cat_var_base</dt>
<dd>`character(1)` name of the base period
categorical variable.</dd>


<dt>freqs_df</dt>
<dd>`data.frame` with 2 columns, the first one with category
and second with counts.</dd>


<dt>multiplier_var</dt>
<dd>`character(1)` name of the multiplier variable.</dd>

</dl>

resolve_frequencies: Resolve the frequencies

Description

Usage

Arguments