dummy_names

The function will find the position of the dummy coded attributes in the
candidate set (in the case of the Modified Federov or Random algorithms) or
the design candidate (in the case of the RSC algorithm). This will let us
know which columns to coerce to factors prior to defining x_j.

Contemporary software commonly used to design stated preference experiments are expensive and the code is closed source. This is a free software package with an easy to use interface to make flexible stated preference experimental designs using state-of-the-art methods. For an overview of stated choice experimental design theory, see e.g., Rose, J. M. & Bliemer, M. C. J. (2014) in Hess S. & Daly. A. <doi:10.4337/9781781003152>. The package website can be accessed at <https://spdesign.edsandorf.me>. We acknowledge funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant INSPiRE (Grant agreement ID: 793163).

Erlend Dancke Sandorf

spdesign

Designing Stated Preference Experiments

Danny Campbell

dummy_names function

<dl><dt>x</dt>
<dd>An object of class utility</dd></dl>

Arguments

Find the position of the dummy coded attributes — dummy_names

<dl>

<dt>x</dt>
<dd>An object of class utility</dd>

</dl>

dummy_names: Find the position of the dummy coded attributes

Description

Usage

Value

Arguments