add_check_custom

This function allows you to add a custom check outcomes to the validator log. The outcomes must be a logical vector.

Validates data frames against a defined schema. Produces a report of the checks performed and any issues found, with index and entry value where appropriate. Backend checks are performed using pointblank Richard Iannone et al (2025) <doi:10.32614/CRAN.package.pointblank>.

Analysis Standards and Pipelines Team (ONS) 

data.checker

Data Checker for Validating Data Frames Against Defined Schema

Crown Copyright 

add_check_custom function

<dl><dt>validator</dt>
<dd>A <code>Validator</code> object to which the custom check will be added.</dd>
<dt>description</dt>
<dd>A description of the custom check.</dd>
<dt>outcome</dt>
<dd>Logical vector indicating the result of the check (TRUE/FALSE).
Outcome must be logical.</dd>
<dt>type</dt>
<dd>The type of the check, can be "error", "warning", or "note".</dd></dl>

Arguments

Add a custom check to the validator — add_check_custom

<dl>

<dt>validator</dt>
<dd>A <code>Validator</code> object to which the custom check will be added.</dd>


<dt>description</dt>
<dd>A description of the custom check.</dd>


<dt>outcome</dt>
<dd>Logical vector indicating the result of the check (TRUE/FALSE).
Outcome must be logical.</dd>


<dt>type</dt>
<dd>The type of the check, can be "error", "warning", or "note".</dd>

</dl>

add_check_custom: Add a custom check to the validator

Description

Usage

Value

Arguments