flag_event

The <code>flag_event</code> object is used to define events as input for the
<code>derive_var_merged_ef_msrc()</code> function.

source_specifications

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

Jeffrey Dickinson

Ross Farrugia

Fanny Gautier

G Gayatri

Asha Chakma

Dinakar Kulkarni

Edoardo Mancini

Sadchla Mascary

Gordon Miller

Lina Patil

Sophie Shapcott

Eric Simms

Daniel Sjoberg

Stefan Thoma

Phillip Webster

Kangjie Zhang

Zelos Zhu

F. Hoffmann-La Roche AG 

GlaxoSmithKline LLC 

flag_event function

<dl><dt>dataset_name</dt>
<dd>Dataset name of the dataset to be used as input for the
event. The name refers to the dataset specified for <code>source_datasets</code> in
<code>derive_var_merged_ef_msrc()</code>.
Permitted Values: a character scalar</dd>
<dt>condition</dt>
<dd>Condition
The condition is evaluated at the dataset referenced by <code>dataset_name</code>. For
all by groups where it evaluates as <code>TRUE</code> at least once the new variable
is set to the true value (<code>true_value</code>).</dd>
<dt>by_vars</dt>
<dd>Grouping variables
If specified, the dataset is grouped by the specified variables before the
condition is evaluated. If named elements are used in <code>by_vars</code> like
<code>by_vars = exprs(USUBJID, EXLNKID = ECLNKID)</code>, the variables are renamed
after the evaluation. If the <code>by_vars</code> element is not specified, the
observations are grouped by the variables specified for the <code>by_vars</code>
argument of <code>derive_var_merged_ef_msrc()</code>.</dd></dl>

Arguments

Create a flag_event Object — flag_event

<dl>

<dt>dataset_name</dt>
<dd>Dataset name of the dataset to be used as input for the
event. The name refers to the dataset specified for <code>source_datasets</code> in
<code>derive_var_merged_ef_msrc()</code>.
Permitted Values: a character scalar</dd>


<dt>condition</dt>
<dd>Condition
The condition is evaluated at the dataset referenced by <code>dataset_name</code>. For
all by groups where it evaluates as <code>TRUE</code> at least once the new variable
is set to the true value (<code>true_value</code>).</dd>


<dt>by_vars</dt>
<dd>Grouping variables
If specified, the dataset is grouped by the specified variables before the
condition is evaluated. If named elements are used in <code>by_vars</code> like
<code>by_vars = exprs(USUBJID, EXLNKID = ECLNKID)</code>, the variables are renamed
after the evaluation. If the <code>by_vars</code> element is not specified, the
observations are grouped by the variables specified for the <code>by_vars</code>
argument of <code>derive_var_merged_ef_msrc()</code>.</dd>

</dl>

Create a <code>flag_event</code> Object

flag_event: Create a `flag_event` Object

Description

Usage

Arguments

See Also