sanitize_split

Casting metadata for REDCap database creation and handling of
castellated data using repeated instruments and longitudinal projects in
'REDCap'. Keeps a focused data export approach, by allowing to only export
required data from the database. Also for casting new REDCap databases based
on datasets from other sources.
Originally forked from the R part of 'REDCapRITS' by Paul Egeler.
See <https://github.com/pegeler/REDCapRITS>.
'REDCap' (Research Electronic Data Capture) is a secure, web-based software
platform designed to support data capture for research studies, providing
1) an intuitive interface for validated data capture; 2) audit trails for
tracking data manipulation and export procedures; 3) automated export
procedures for seamless data downloads to common statistical packages; and
4) procedures for data integration and interoperability with external
sources (Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>;
Harris et al (2019) <doi:10.1016/j.jbi.2019.103208>).

Andreas Gammelgaard Damsbo

REDCapCAST

REDCap Metadata Casting and Castellated Data Handling

Paul Egeler

sanitize_split function

<dl><dt>l</dt>
<dd>A list of data frames.</dd>
<dt>generic.names</dt>
<dd>A vector of generic names to be excluded.</dd>
<dt>drop.complete</dt>
<dd>logical to remove generic REDCap variables indicating
instrument completion. Default is TRUE.</dd>
<dt>drop.empty</dt>
<dd>logical to remove variables with only NAs Default is TRUE.</dd></dl>

Arguments

Sanitize list of data frames — sanitize_split

<dl>

<dt>l</dt>
<dd>A list of data frames.</dd>


<dt>generic.names</dt>
<dd>A vector of generic names to be excluded.</dd>


<dt>drop.complete</dt>
<dd>logical to remove generic REDCap variables indicating
instrument completion. Default is TRUE.</dd>


<dt>drop.empty</dt>
<dd>logical to remove variables with only NAs Default is TRUE.</dd>

</dl>

sanitize_split: Sanitize list of data frames

Description

Usage

Value

Arguments