plot_rand

This function takes the return of the rand_test function and creates a
histogram with the distribution of the rand sample statistics.

A collection of procedures for analysing, visualising,
and managing single-case data. These include piecewise linear regression
models, multilevel models, overlap indices ('PND', 'PEM', 'PAND', 'PET', 'tau-u',
'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. 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

plot_rand function

<dl><dt>object</dt>
<dd>Object returned from the rand_test() function</dd>
<dt>type</dt>
<dd>'hist' or 'xy'.</dd>
<dt>xlab</dt>
<dd>Label for the x-axis.</dd>
<dt>ylab</dt>
<dd>Label for the y-axis.</dd>
<dt>title</dt>
<dd>Plot title.</dd>
<dt>text_observed</dt>
<dd>Text for marking the number of observed statistic.</dd>
<dt>color</dt>
<dd>Bar color.</dd>
<dt>...</dt>
<dd>Further arguments passed to the plot function.</dd></dl>

Arguments

Plot random distribution — plot_rand

<dl>

<dt>object</dt>
<dd>Object returned from the rand_test() function</dd>


<dt>type</dt>
<dd>'hist' or 'xy'.</dd>


<dt>xlab</dt>
<dd>Label for the x-axis.</dd>


<dt>ylab</dt>
<dd>Label for the y-axis.</dd>


<dt>title</dt>
<dd>Plot title.</dd>


<dt>text_observed</dt>
<dd>Text for marking the number of observed statistic.</dd>


<dt>color</dt>
<dd>Bar color.</dd>


<dt>...</dt>
<dd>Further arguments passed to the plot function.</dd>

</dl>

plot_rand: Plot random distribution

Description

Usage

Arguments