Calculate the correlation of the design. The function gets the design from
the design object before passing it to <code><a href="/link/cor?package=spdesign&version=0.0.5" data-mini-rdoc="spdesign::cor">cor</a></code> from stats.
This is a wrapper around <code><a href="/link/cor?package=spdesign&version=0.0.5" data-mini-rdoc="spdesign::cor">cor</a></code>.

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

cor function

<dl><dt>x</dt>
<dd>A model object of class 'spdesign'</dd>
<dt>...</dt>
<dd>Additional parameters passed to the function</dd></dl>

Arguments

Calculate the correlation of the design. The function gets the design from
the design object before passing it to <code><a href='https://rdrr.io/r/stats/cor.html'>cor</a></code> from stats.
This is a wrapper around <code><a href='https://rdrr.io/r/stats/cor.html'>cor</a></code>.

Correlation — cor

<dl>

<dt>x</dt>
<dd>A model object of class 'spdesign'</dd>


<dt>...</dt>
<dd>Additional parameters passed to the function</dd>

</dl>

cor: Correlation

Description

Usage

Value

Arguments

Details