summary.InteractionClassification

Computes summary statistics by classification group from an object of class
<code>InteractionClassification</code>, including mean differences in viral load and CD4 counts,
and the number of observations per cluster.

Resources, tutorials, and code snippets dedicated to exploring the intersection of quantum computing and artificial intelligence (AI) in the context of analyzing Cluster of Differentiation 4 (CD4) lymphocytes and optimizing antiretroviral therapy (ART) for human immunodeficiency virus (HIV). With the emergence of quantum artificial intelligence and the development of small-scale quantum computers, there's an unprecedented opportunity to revolutionize the understanding of HIV dynamics and treatment strategies. This project leverages the R package 'qsimulatR' (Ostmeyer and Urbach, 2023, <https://CRAN.R-project.org/package=qsimulatR>), a quantum computer simulator, to explore these applications in quantum computing techniques, addressing the challenges in studying CD4 lymphocytes and enhancing ART efficacy.

Juan Pablo Acuña González

qvirus

Quantum Computing for Analyzing CD4 Lymphocytes and
Antiretroviral Therapy

summary.InteractionClassification function

<dl><dt>object</dt>
<dd>An object of class <code>InteractionClassification</code> returned by the
<code>InteractionClassification()</code> function.</dd>
<dt>...</dt>
<dd>Additional arguments passed to other methods (currently not used).</dd></dl>

Arguments

Summarize an InteractionClassification object — summary.InteractionClassification

<dl>

<dt>object</dt>
<dd>An object of class <code>InteractionClassification</code> returned by the
<code>InteractionClassification()</code> function.</dd>


<dt>...</dt>
<dd>Additional arguments passed to other methods (currently not used).</dd>

</dl>

summary.InteractionClassification: Summarize an InteractionClassification object

Description

Usage

Arguments