run_app

Provides users a quick exploratory dive into common
visualizations without writing a single line of code given the users
data follows the Analysis Data Model (ADaM) standards put forth by the
Clinical Data Interchange Standards Consortium (CDISC)
<https://www.cdisc.org>. Prominent modules/ features of the
application are the Table Generator, Population Explorer, and the
Individual Explorer. The Table Generator allows users to drag and drop
variables and desired statistics (frequencies, means, ANOVA, t-test,
and other summary statistics) into bins that automagically create
stunning tables with validated information. The Population Explorer
offers various plots to visualize general trends in the population
from various vantage points. Plot modules currently include scatter
plot, spaghetti plot, box plot, histogram, means plot, and bar plot.
Each plot type allows the user to plot uploaded variables against one
another, and dissect the population by filtering out certain subjects.
Last, the Individual Explorer establishes a cohesive patient
narrative, allowing the user to interact with patient metrics (params)
by visit or plotting important patient events on a timeline. All
modules allow for concise filtering & downloading bulk outputs into
html or pdf formats to save for later.

Aaron Clark

tidyCDISC

Quick Table Generation & Exploratory Analyses on ADaM-Ish
Datasets

Jeff Thompson

Teresa Wilson

Nate Mockler

Maya Gans

Robert Krajcik

Marly Gotti

Ryan Harrison

Biogen Inc

run_app function

<dl><dt>...</dt>
<dd>A series of options to be used inside the app.</dd></dl>

Arguments

Run the Shiny Application — run_app

<dl>

<dt>...</dt>
<dd>A series of options to be used inside the app.</dd>

</dl>

Run the Shiny Application

run_app: Run the Shiny Application

Description

Usage

Value

Arguments