extract_duplicate_records

internal

A toolbox for programming Clinical Data Interchange Standards
Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R.
ADaM datasets are a mandatory part of any New Drug or Biologics
License Application submitted to the United States Food and Drug
Administration (FDA). Analysis derivations are implemented in
accordance with the "Analysis Data Model Implementation Guide" (CDISC
Analysis Data Model Team, 2021,
<https://www.cdisc.org/standards/foundational/adam>).

Ben Straub

admiral

ADaM in R Asset Library

Stefan Bundfuss

Arianna Cascone

Jeffrey Dickinson

Ross Farrugia

Fanny Gautier

G Gayatri

Solveig Holmgaard

Dinakar Kulkarni

Edoardo Mancini

Gordon Miller

Jim Rothstein

Daniel Sjoberg

Stefan Thoma

Junze Zhang

F. Hoffmann-La Roche AG 

GlaxoSmithKline LLC 

extract_duplicate_records function

<dl><dt>dataset</dt>
<dd>Input dataset
The variables specified by the <code>by_vars</code> argument are expected to be in the dataset.
<dl>
<dt>Default value</dt>
<dd>none</dd></dl></dd>
</dl>
<dt>by_vars</dt>
<dd>Grouping variables
Defines groups of records in which to look for duplicates.
If omitted, all variables in the input dataset are used in the by group.
Note: Omitting <code>by_vars</code> will increase the function's run-time, so it is
recommended to specify the necessary grouping variables for large datasets
whenever possible.
<dl>
<dt>Permitted values</dt>
<dd>list of variables created by <code>exprs()</code>, e.g., <code>exprs(USUBJID, VISIT)</code></dd></dl></dd><dt>Default value</dt>
<dd><code>NULL</code></dd>

Arguments

Extract Duplicate Records — extract_duplicate_records

<dl>

<dt>dataset</dt>
<dd>Input dataset
The variables specified by the <code>by_vars</code> argument are expected to be in the dataset.
<dl>
<dt>Default value</dt>
<dd>none</dd>


</dl></dd>


<dt>by_vars</dt>
<dd>Grouping variables
Defines groups of records in which to look for duplicates.
If omitted, all variables in the input dataset are used in the by group.
Note: Omitting <code>by_vars</code> will increase the function's run-time, so it is
recommended to specify the necessary grouping variables for large datasets
whenever possible.
<dl>
<dt>Permitted values</dt>
<dd>list of variables created by <code>exprs()</code>, e.g., <code>exprs(USUBJID, VISIT)</code></dd>

<dt>Default value</dt>
<dd><code>NULL</code></dd>


</dl></dd>

</dl>

Extract Duplicate Records

extract_duplicate_records: Extract Duplicate Records

Description

Usage

Value

Arguments

See Also

Examples