shinyscan

Run a Shiny app with most of the scan functions.

A collection of procedures for analysing, visualising,
and managing single-case data. These include regression models
(multilevel, multivariate, bayesian), between case standardised mean difference,
overlap indices ('PND', 'PEM', 'PAND', 'PET', 'tau-u', 'IRD', 'baseline corrected tau',
'CDC'), and randomization tests. Data preparation functions support outlier
detection, handling missing values, scaling, and custom transformations.
An export function helps to generate html, word, and latex tables in a
publication friendly style. A shiny app allows to use scan in a graphical
user interface.
More details can be found in the online book 'Analyzing single-case data with
R and scan', Juergen Wilbert (2025)
<https://jazznbass.github.io/scan-Book/>.

Juergen Wilbert

scan

Single-Case Data Analyses for Single and Multiple Baseline
Designs

Timo Lueke

shinyscan function

<dl><dt>scdf</dt>
<dd>If you provide an scdf here, it will be loaded at startup.</dd>
<dt>quiet</dt>
<dd>If TRUE (default) does not report shiny messages in the console.</dd>
<dt>browser</dt>
<dd>c("external","viewer")</dd>
<dt>...</dt>
<dd>Further arguments passed to the <code><a href="/link/shiny%3A%3ArunApp()?package=scan&version=0.66.0" data-mini-rdoc="scan::shiny::runApp()">shiny::runApp()</a></code> function.</dd></dl>

Arguments

A Shiny app for scan — shinyscan

<dl>

<dt>scdf</dt>
<dd>If you provide an scdf here, it will be loaded at startup.</dd>


<dt>quiet</dt>
<dd>If TRUE (default) does not report shiny messages in the console.</dd>


<dt>browser</dt>
<dd>c("external","viewer")</dd>


<dt>...</dt>
<dd>Further arguments passed to the <code><a href='https://rdrr.io/pkg/shiny/man/runApp.html'>shiny::runApp()</a></code> function.</dd>

</dl>

shinyscan: A Shiny app for scan

Description

Usage

Arguments

Details