savePlpData

<code>savePlpData</code> saves an object of type plpData to folder.

A user friendly way to create patient level prediction models using
the Observational Medical Outcomes Partnership Common Data Model. Given a cohort
of interest and an outcome of interest, the package can use data in the Common
Data Model to build a large set of features. These features can then be used to
fit a predictive model with a number of machine learning algorithms. This is
further described in Reps (2017) <doi:10.1093/jamia/ocy032>.

Egill Fridgeirsson

PatientLevelPrediction

Develop Clinical Prediction Models Using the Common Data Model

Jenna Reps

Martijn Schuemie

Marc Suchard

Patrick Ryan

Peter Rijnbeek

Observational Health Data Science and Informatics 

savePlpData function

<dl><dt>plpData</dt>
<dd>An object of type <code>plpData</code> as generated using
<code>getPlpData</code>.</dd>
<dt>file</dt>
<dd>The name of the folder where the data will be written. The folder should
not yet exist.</dd>
<dt>envir</dt>
<dd>The environment for to evaluate variables when saving</dd>
<dt>overwrite</dt>
<dd>Whether to force overwrite an existing file</dd></dl>

Arguments

Save the plpData to folder — savePlpData

<dl>

<dt>plpData</dt>
<dd>An object of type <code>plpData</code> as generated using
<code>getPlpData</code>.</dd>


<dt>file</dt>
<dd>The name of the folder where the data will be written. The folder should
not yet exist.</dd>


<dt>envir</dt>
<dd>The environment for to evaluate variables when saving</dd>


<dt>overwrite</dt>
<dd>Whether to force overwrite an existing file</dd>

</dl>

savePlpData: Save the plpData to folder

Description

Usage

Value

Arguments

Examples