This is an example data set to simulate a SDTM production domain 'DM' which
contains study start and end date information by subject. This can be used to
test <code>create_BLFL()</code>, <code>create_EPOCH()</code>, and <code>calc_DY()</code>.

datasets

Provides a set of tools to assist statistical programmers
in validating Study Data Tabulation Model (SDTM) domain data sets.
Statistical programmers are required to validate that a SDTM data set domain
has been programmed correctly, per the SDTM Implementation Guide (SDTMIG) by
'CDISC' (<https://www.cdisc.org/standards/foundational/sdtmig>),
study specification, and study protocol using a process called double
programming. Double programming involves two different programmers
independently converting the raw electronic data cut (EDC) data into a SDTM
domain data table and comparing their results to ensure accurate
standardization of the data. One of these attempts is termed 'production'
and the other 'validation'. Generally, production runs are the official
programs for submittals and these are written in 'SAS'. Validation runs can
be programmed in another language, in this case 'R'.

Stephen Knapp

sdtmval

Validate SDTM Domains

dm function

<div class="section" id="-dm-">
<h3>'dm'</h3>
A data frame with 2 rows and 4 columns:<dl>
<dt>USUBJID</dt>
<dd>Subject identifier</dd><dt>RFSTDTC</dt>
<dd>Study start date</dd><dt>RFXSTDTC</dt>
<dd>First exposure date</dd><dt>RFXENDTC</dt>
<dd>Last exposure date</dd>
</dl></div>

Format

Example SDTM Domain 'DM' — dm

<div class='section' id='-dm-'>
<h3>'dm'</h3>


A data frame with 2 rows and 4 columns:<dl>
<dt>USUBJID</dt>
<dd>Subject identifier</dd>

<dt>RFSTDTC</dt>
<dd>Study start date</dd>

<dt>RFXSTDTC</dt>
<dd>First exposure date</dd>

<dt>RFXENDTC</dt>
<dd>Last exposure date</dd>


</dl>

</div>

dm: Example SDTM Domain 'DM'

Description

Usage

Arguments

Format

'dm'