validate_demand_data

Internal helper function to validate required columns in demand data and
ensure that specified factor columns are correctly formatted and have unused
levels dropped.

internal

Facilitates many of the analyses performed in studies of
behavioral economic demand. The package supports commonly-used options for
modeling operant demand including (1) data screening proposed by Stein,
Koffarnus, Snider, Quisenberry, & Bickel (2015; <doi:10.1037/pha0000020>),
(2) fitting models of demand such as linear (Hursh, Raslear, Bauman,
& Black, 1989, <doi:10.1007/978-94-009-2470-3_22>), exponential (Hursh & Silberberg, 2008,
<doi:10.1037/0033-295X.115.1.186>) and modified exponential (Koffarnus,
Franck, Stein, & Bickel, 2015, <doi:10.1037/pha0000045>), and (3) calculating
numerous measures relevant to applied behavioral economists (Intensity,
Pmax, Omax). Also supports plotting and comparing data.

Brent Kaplan

beezdemand

Behavioral Economic Easy Demand

Shawn Gilroy

validate_demand_data function

<dl><dt>data</dt>
<dd>A data frame.</dd>
<dt>y_var</dt>
<dd>Character string, the name of the dependent variable column.</dd>
<dt>x_var</dt>
<dd>Character string, the name of the independent variable column.</dd>
<dt>id_var</dt>
<dd>Character string, the name of the subject/group identifier column.</dd>
<dt>factors</dt>
<dd>Character vector of factor names (can be NULL).</dd></dl>

Arguments

Validate and Prepare Demand Data — validate_demand_data

<dl>

<dt>data</dt>
<dd>A data frame.</dd>


<dt>y_var</dt>
<dd>Character string, the name of the dependent variable column.</dd>


<dt>x_var</dt>
<dd>Character string, the name of the independent variable column.</dd>


<dt>id_var</dt>
<dd>Character string, the name of the subject/group identifier column.</dd>


<dt>factors</dt>
<dd>Character vector of factor names (can be NULL).</dd>

</dl>

validate_demand_data: Validate and Prepare Demand Data

Description

Usage

Value

Arguments