print.coreval_result

Describes each problem in the rule's own words, worst first, with the rows
and values that caused it. A whole-study result is grouped by dataset, with
a summary first, so you can see where the trouble is before reading detail.

Finds conformance problems in clinical trial data without
leaving R, using the openly published 'CDISC' Open Rules ('CORE'). Check a
single dataset while you are still writing the code that builds it, or a
whole study folder once it exists, and get the findings back as a tidy
data frame pointing at the exact row and variable. Reads transport
('XPT'), 'SAS' and comma-separated files, plus 'Define-XML' when present,
and covers rules for the 'SDTM', 'SEND' and 'TIG' standards. The
rules are bundled inside the package, so nothing is downloaded and your
data never leaves your machine: no internet, no API key, no account. When
a rule cannot be checked - because it needs a dataset you did not supply,
for instance - it is reported as skipped with the reason, never counted as
a pass. Meant as a quick first pass before a qualified validation system,
never as a replacement for one. An independent project: not affiliated
with or endorsed by 'CDISC', and not a 'CORE'-certified conformance engine.

Hrach Gevorgyan

coreval

Check Clinical Trial Data Against 'CDISC' Open Rules

print.coreval_result function

<dl><dt>x</dt>
<dd>A result from <code>check_dataset()</code> or <code>check_study()</code>.</dd>
<dt>n</dt>
<dd>Maximum problems to describe - per dataset, for a study result.
The rest are counted, not listed. Default 10.</dd>
<dt>rows</dt>
<dd>Maximum example records to show per problem. Default 3.</dd>
<dt>guidance</dt>
<dd>Also print the sentence from the Implementation Guide that
each rule enforces - the "why" behind it. Off by default: it roughly
doubles the length of the report.</dd>
<dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

Print a coreval check result as a readable report — print.coreval_result

<dl>

<dt>x</dt>
<dd>A result from <code>check_dataset()</code> or <code>check_study()</code>.</dd>


<dt>n</dt>
<dd>Maximum problems to describe - per dataset, for a study result.
The rest are counted, not listed. Default 10.</dd>


<dt>rows</dt>
<dd>Maximum example records to show per problem. Default 3.</dd>


<dt>guidance</dt>
<dd>Also print the sentence from the Implementation Guide that
each rule enforces - the "why" behind it. Off by default: it roughly
doubles the length of the report.</dd>


<dt>...</dt>
<dd>Ignored.</dd>

</dl>

print.coreval_result: Print a coreval check result as a readable report

Description

Usage

Value

Arguments

Examples