data.ctrl

A dataset containing the results from the Body Sidednedd Task
from a control group of 16 participants

datasets

Analyse single case analyses against a control group.
Its purpose is to provide a flexible, with good power and
low first type error
approach that can manage at the same time controls' and patient's data.
The use of Bayesian statistics allows to test both the alternative and
null hypothesis.
Scandola, M., & Romano, D. (2020, August 3). <doi:10.31234/osf.io/sajdq>
Scandola, M., & Romano, D. (2021). <doi:10.1016/j.neuropsychologia.2021.107834>.

Michele Scandola

bmscstan

Bayesian Multilevel Single Case Models using 'Stan'

data.ctrl function

A data frame with 4049 rows and 5 variables<dl>
 <dt>RT</dt>
<dd>Reaction times, in milliseconds</dd> <dt>Body.District</dt>
<dd>Body district, categorial factor of
 Body Sidedness Task: FOOT or HAND</dd> <dt>Congruency</dt>
<dd>The trail was Congruent or Incongruent?</dd> <dt>Side</dt>
<dd>The trial showed a left or right limb</dd> <dt>ID</dt>
<dd>The participant ID</dd>
</dl>

Format

Data from a control group of 16 participants — data.ctrl

A data frame with 4049 rows and 5 variables<dl>
 <dt>RT</dt>
<dd>Reaction times, in milliseconds</dd>

 <dt>Body.District</dt>
<dd>Body district, categorial factor of
 Body Sidedness Task: FOOT or HAND</dd>

 <dt>Congruency</dt>
<dd>The trail was Congruent or Incongruent?</dd>

 <dt>Side</dt>
<dd>The trial showed a left or right limb</dd>

 <dt>ID</dt>
<dd>The participant ID</dd>


</dl>

data.ctrl: Data from a control group of 16 participants

Description

Usage

Arguments

Format