records_source

The <code>records_source</code> object is used to find extreme records of interest.

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 

records_source function

<dl><dt>dataset_name</dt>
<dd>The name of the source dataset
The name refers to the dataset provided by the <code>source_datasets</code> argument
of <code>derive_param_extreme_record()</code>.</dd>
<dt>filter</dt>
<dd>An unquoted condition for selecting the observations from
<code>dataset</code>.</dd>
<dt>new_vars</dt>
<dd>Variables to add
The specified variables from the source datasets are added to the output
dataset. Variables can be renamed by naming the element, i.e., <code>new_vars = exprs(&lt;new name&gt; = &lt;old name&gt;)</code>.
For example <code>new_vars = exprs(var1, var2)</code> adds variables <code>var1</code> and <code>var2</code>
from to the input dataset.
And <code>new_vars = exprs(var1, new_var2 = old_var2)</code> takes <code>var1</code> and
<code>old_var2</code> from the source dataset and adds them to the input dataset renaming
<code>old_var2</code> to <code>new_var2</code>. Expressions can be used to create new variables
(see for example <code>new_vars</code> argument in <code>derive_vars_merged()</code>).
Permitted Values: list of expressions created by <code>exprs()</code>, e.g.,
<code>exprs(ADT, desc(AVAL))</code></dd></dl>

Arguments

Create a records_source Object — records_source

<dl>

<dt>dataset_name</dt>
<dd>The name of the source dataset
The name refers to the dataset provided by the <code>source_datasets</code> argument
of <code>derive_param_extreme_record()</code>.</dd>


<dt>filter</dt>
<dd>An unquoted condition for selecting the observations from
<code>dataset</code>.</dd>


<dt>new_vars</dt>
<dd>Variables to add
The specified variables from the source datasets are added to the output
dataset. Variables can be renamed by naming the element, i.e., <code>new_vars = exprs(&lt;new name&gt; = &lt;old name&gt;)</code>.
For example <code>new_vars = exprs(var1, var2)</code> adds variables <code>var1</code> and <code>var2</code>
from to the input dataset.
And <code>new_vars = exprs(var1, new_var2 = old_var2)</code> takes <code>var1</code> and
<code>old_var2</code> from the source dataset and adds them to the input dataset renaming
<code>old_var2</code> to <code>new_var2</code>. Expressions can be used to create new variables
(see for example <code>new_vars</code> argument in <code>derive_vars_merged()</code>).
Permitted Values: list of expressions created by <code>exprs()</code>, e.g.,
<code>exprs(ADT, desc(AVAL))</code></dd>

</dl>

Create a <code>records_source</code> Object

records_source: Create a `records_source` Object

Description

Usage

Value

Arguments

See Also