validate_cover_cats

Validate if the trans table contains all proper mappings

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

validate_cover_cats function

<dl><dt>u_cats_target</dt>
<dd>vector of unique target period categories</dd>
<dt>mapp</dt>
<dd>transition (mapping) table process with `get_mappings`,
the "to_base" direction is taken.</dd></dl>

Arguments

Validate if the trans table contains all proper mappings — validate_cover_cats

<dl>

<dt>u_cats_target</dt>
<dd>vector of unique target period categories</dd>


<dt>mapp</dt>
<dd>transition (mapping) table process with `get_mappings`,
the "to_base" direction is taken.</dd>

</dl>

validate_cover_cats: Validate if the trans table contains all proper mappings

Description

Usage

Arguments