summary.scdf

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, truncating,
rank transformation, and smoothing. An exporting function helps to generate
html and latex tables in a publication friendly style. More details can be
found at <https://jazznbass.github.io/scan-Book/>.

Juergen Wilbert

scan

Single-Case Data Analyses for Single and Multiple Baseline
Designs

Timo Lueke

summary.scdf function

<dl><dt>object</dt>
<dd>scdf</dd>
<dt>...</dt>
<dd>not in use</dd></dl>

Arguments

Summary function for an scdf — summary.scdf

<dl>

<dt>object</dt>
<dd>scdf</dd>


<dt>...</dt>
<dd>not in use</dd>

</dl>

summary.scdf: Summary function for an scdf

Description

Usage

Arguments