kmcolors

<code>kmcolors</code> takes a probabilty vector and a color palette and
creates a color vector to be used with <code>kstMatrix::plot</code>.

Knowledge space theory by Doignon and Falmagne (1999)
<doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical
framework, which proposes mathematical formalisms to operationalize
knowledge structures in a particular domain. The 'kstMatrix' package
provides basic functionalities to generate, handle, and manipulate
knowledge structures and knowledge spaces. Opposed to the 'kst'
package, 'kstMatrix' uses matrix representations for knowledge
structures. Furthermore, 'kstMatrix' contains several knowledge spaces
developed by the research group around Cornelia Dowling through
querying experts.

Cord Hockemeyer

kstMatrix

Basic Functions in Knowledge Space Theory Using Matrix
Representation

Peter Steiner

Wai Wong

kmcolors function

<dl><dt>prob</dt>
<dd>Probability vector</dd>
<dt>palette</dt>
<dd>Color palette (default = cm.colors)</dd></dl>

Arguments

Determine a color vector based on probabilities — kmcolors

<dl>

<dt>prob</dt>
<dd>Probability vector</dd>


<dt>palette</dt>
<dd>Color palette (default = cm.colors)</dd>

</dl>

kmcolors: Determine a color vector based on probabilities

Description

Usage

Arguments

See Also