plot.score_mcq27_output

This function creates a plot of the MCQ-27 scores for
different metrics (small_k, medium_k, large_k, geomean_k, overall_k).
The function handles different logarithmic transformations of the k-values
and adjusts the y-axis label accordingly.

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

plot.score_mcq27_output function

<dl><dt>x</dt>
<dd>A data frame returned by the <code>score_mcq27</code> function.</dd>
<dt>...</dt>
<dd>Additional arguments passed to methods.</dd>
<dt>xlab</dt>
<dd>Label for the x-axis. Default is "Metric".</dd>
<dt>alpha</dt>
<dd>Transparency of the points in the plot. Default is 0.3.</dd></dl>

Arguments

Plot MCQ-27 Scores — plot.score_mcq27_output

<dl>

<dt>x</dt>
<dd>A data frame returned by the <code>score_mcq27</code> function.</dd>


<dt>...</dt>
<dd>Additional arguments passed to methods.</dd>


<dt>xlab</dt>
<dd>Label for the x-axis. Default is "Metric".</dd>


<dt>alpha</dt>
<dd>Transparency of the points in the plot. Default is 0.3.</dd>

</dl>

plot.score_mcq27_output: Plot MCQ-27 Scores

Description

Usage

Value

Arguments

Examples