ulrich_simon_data

Data of the Simon task collected in the course of the study by
Ulrichetal.2015;textualdRiftDM.

datasets

Fit and explore Drift Diffusion Models (DDMs),
a common tool in psychology for describing decision processes in simple
tasks. It can handle both time-independent and time-dependent DDMs. You
either choose prebuilt models or create your own, and the package takes
care of model predictions and parameter estimation. Model predictions
are derived via the numerical solutions provided by Richter, Ulrich, and
Janczyk (2023, <doi:10.1016/j.jmp.2023.102756>).

Valentin Koob

dRiftDM

Estimating (Time-Dependent) Drift Diffusion Models

Thomas Richter

Markus Janczyk

ulrich_simon_data function

A data.frame with 16 individuals and the following columns:<dl>
<dt>ID</dt>
<dd>Individual IDs</dd><dt>RT</dt>
<dd>Response Times</dd><dt>Error</dt>
<dd>Error Coding (Error Response = 1; Correct Response = 0)</dd><dt>Cond</dt>
<dd>Condition ('comp' and 'incomp')</dd>
</dl>

Format

Exemplary Simon Data — ulrich_simon_data

A data.frame with 16 individuals and the following columns:<dl>
<dt>ID</dt>
<dd>Individual IDs</dd>

<dt>RT</dt>
<dd>Response Times</dd>

<dt>Error</dt>
<dd>Error Coding (Error Response = 1; Correct Response = 0)</dd>

<dt>Cond</dt>
<dd>Condition ('comp' and 'incomp')</dd>


</dl>

ulrich_simon_data: Exemplary Simon Data

Description

Usage

Arguments

Format