interactionWithMissing

This ensures that missing values in one of the variable(s) don't propagate,
so the combined result will be: 'NA - a',
and that the levels of the combined vector
are sorted as the levels of the specified
variables (levels of the first variable varying first).

Creation of patient profile visualizations for
exploration, diagnostic or monitoring purposes during a clinical trial.
These static visualizations display a patient-specific overview
of the evolution during the trial time frame of
parameters of interest (as laboratory, ECG, vital signs),
presence of adverse events, exposure to a treatment;
associated with metadata patient information,
as demography, concomitant medication.
The visualizations can be tailored for specific domain(s) or endpoint(s) of interest.
Visualizations are exported into patient profile report(s)
or can be embedded in custom report(s).

Laure Cougnaud

patientProfilesVis

Visualization of Patient Profiles

Margaux Faes

Open Analytics 

interactionWithMissing function

<dl><dt>data</dt>
<dd>Data.frame with data.</dd>
<dt>vars</dt>
<dd>Character vector with variable(s) of interest.</dd>
<dt>varSep</dt>
<dd>String with separator to which the variable(s)
should be combined.</dd></dl>

Arguments

Author

Get interaction variable between different variables. — interactionWithMissing

<dl>

<dt>data</dt>
<dd>Data.frame with data.</dd>


<dt>vars</dt>
<dd>Character vector with variable(s) of interest.</dd>


<dt>varSep</dt>
<dd>String with separator to which the variable(s)
should be combined.</dd>

</dl>

interactionWithMissing: Get interaction variable between different variables.

Description

Usage

Value

Arguments

Author