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, tauU,
baseline corrected tau), 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/>.

Single-Case Data Analyses for Single and Multiple Baseline
Designs

package-ubuntu-20.04-r-4.0.5#cran#scan-0.51

scdf_attr(x, var)

scdf_attr(x, var) <- value

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>Variable</p>
</td>
</tr>
<tr valign="top">
<td><code>var</code></td>
<td>
<p>Attribute</p>
</td>
</tr>
<tr valign="top">
<td><code>value</code></td>
<td>
<p>set value</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#scan-0.51#docs#scdf_attr

scdf_attr

Description

Usage

Arguments

Value

scan

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`x`	Variable
`var`	Attribute
`value`	set value