filterEmptyRow

Evaluates each row of a data frame for missingness. If all
fields (excluding the identifying fields) are missing, the row is
removed from the data. For the purpose of this function,
<code>redcap_data_access_group</code> is considered an identifying field.

Access data stored in 'REDCap' databases using the Application
Programming Interface (API). 'REDCap' (Research Electronic Data CAPture;
<https://projectredcap.org>, Harris, et al. (2009) <doi:10.1016/j.jbi.2008.08.010>,
Harris, et al. (2019) <doi:10.1016/j.jbi.2019.103208>) is
a web application for building and managing online surveys and databases
developed at Vanderbilt University. The API allows users to access data
and project meta data (such as the data dictionary) from the web
programmatically. The 'redcapAPI' package facilitates the process of
accessing data with options to prepare an analysis-ready data set
consistent with the definitions in a database's data dictionary.

Shawn Garbett

redcapAPI

Interface to 'REDCap'

Benjamin Nutter

Savannah Obregon

Thomas Obadia

Marcus Lehr

Brian High

Stephen Lane

Will Beasley

Will Gray

Nick Kennedy

Tan Hsi-Nien

Jeffrey Horner

Jeremy Stephens

Cole Beck

Bradley Johnson

Philip Chase

Paddy Tobias

filterEmptyRow function

<dl><dt>data</dt>
<dd>A <code>data.frame</code> to be filtered.</dd>
<dt>rcon</dt>
<dd>A <code>redcapConnection</code> object.</dd></dl>

Arguments

Remove Rows Containing Only Missing Values — filterEmptyRow

<dl>

<dt>data</dt>
<dd>A <code>data.frame</code> to be filtered.</dd>


<dt>rcon</dt>
<dd>A <code>redcapConnection</code> object.</dd>

</dl>

Remove Rows Containing Only Missing Values

filterEmptyRow: Remove Rows Containing Only Missing Values

Description

Usage

Arguments

See Also