check_unsystematic

This function checks a dataset for violations of two criteria commonly used to identify unsystematic delay-discounting data:<ul>
<li>Criterion 1: Any subsequent value of <code>y</code> exceeds the previous value by more than a specified proportion of the larger later reward (<code>ll</code>).</li>
<li>Criterion 2: The last value of <code>y</code> is not at least a specified proportion less than the first value of <code>y</code>.</li>
</ul>

Facilitates some of the analyses performed in studies of
behavioral economic discounting. The package supports scoring of the 27-Item Monetary Choice
Questionnaire (see Kaplan et al., 2016; <doi:10.1007/s40614-016-0070-9>), calculating k
values (Mazur's simple hyperbolic and exponential) using nonlinear regression, calculating
various Area Under the Curve (AUC) measures, plotting regression curves for both fit-to-group and
two-stage approaches, checking for unsystematic discounting
(Johnson & Bickel, 2008; <doi:10.1037/1064-1297.16.3.264>) and scoring of the
minute discounting task (see Koffarnus & Bickel, 2014; <doi:10.1037/a0035973>) using the
Qualtrics 5-trial discounting template (see the Qualtrics Minute Discounting User Guide;
<doi:10.13140/RG.2.2.26495.79527>), which is also available as a .qsf file in this package.

Brent Kaplan

beezdiscounting

Behavioral Economic Easy Discounting

Brent A. Kaplan

check_unsystematic function

<dl><dt>dat</dt>
<dd>A data frame containing the delay-discounting data. It must have at least two columns:<ul>
<li><code>id</code>: A unique identifier for the data set.</li>
<li><code>y</code>: The indifference points to be analyzed.</li>
</ul></dd>
<dt>ll</dt>
<dd>A numeric value representing the larger later reward. Default is 1.</dd>
<dt>c1</dt>
<dd>A numeric value for the threshold proportion for Criterion 1. Default is 0.2.</dd>
<dt>c2</dt>
<dd>A numeric value for the threshold proportion for Criterion 2. Default is 0.1.</dd></dl>

Arguments

Check for Unsystematic Data Violations — check_unsystematic

<dl>

<dt>dat</dt>
<dd>A data frame containing the delay-discounting data. It must have at least two columns:<ul>
<li><code>id</code>: A unique identifier for the data set.</li>
<li><code>y</code>: The indifference points to be analyzed.</li>
</ul></dd>


<dt>ll</dt>
<dd>A numeric value representing the larger later reward. Default is 1.</dd>


<dt>c1</dt>
<dd>A numeric value for the threshold proportion for Criterion 1. Default is 0.2.</dd>


<dt>c2</dt>
<dd>A numeric value for the threshold proportion for Criterion 2. Default is 0.1.</dd>

</dl>

check_unsystematic: Check for Unsystematic Data Violations

Description

Usage

Value

Arguments

Examples