trim_and_make_blanks_NA

Trims the white space on both sides of strings in a character vector and
replaces blank values (<code>""</code> and <code>" "</code>) with <code>NA</code> for all columns in a data
frame that have a character class.

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

trim_and_make_blanks_NA function

<dl><dt>tbl</dt>
<dd>a data frame, the SDTM table</dd></dl>

Arguments

Trim white space and make blanks NA — trim_and_make_blanks_NA

<dl>

<dt>tbl</dt>
<dd>a data frame, the SDTM table</dd>

</dl>

trim_and_make_blanks_NA: Trim white space and make blanks NA

Description

Usage

Value

Arguments

Details

See Also

Examples