causal_frequency

Function to create a frequency profile for a process map.

Provides the heuristics miner algorithm for process discovery
as proposed by Weijters et al. (2011) <doi:10.1109/CIDM.2011.5949453>. The
algorithm builds a causal net from an event log created with the 'bupaR'
package. Event logs are a set of ordered sequences of events for which
'bupaR' provides the S3 class eventlog(). The discovered causal nets
can be visualised as 'htmlwidgets' and it is possible to annotate them with
the occurrence frequency or processing and waiting time of process
activities.

Felix Mannhardt

heuristicsmineR

Discovery of Process Models with the Heuristics Miner

Gert Janssenswillen

causal_frequency function

<dl><dt>value</dt>
<dd>The type of frequency value to be used:
absolute, relative (percentage of activity instances).</dd>
<dt>color_scale</dt>
<dd>Name of color scale to be used for nodes. Defaults to PuBu. See <code>Rcolorbrewer::brewer.pal.info()</code> for all options.</dd>
<dt>color_edges</dt>
<dd>The color used for edges. Defaults to dodgerblue4.</dd></dl>

Arguments

Frequency map profile — causal_frequency

<dl>

<dt>value</dt>
<dd>The type of frequency value to be used:
absolute, relative (percentage of activity instances).</dd>


<dt>color_scale</dt>
<dd>Name of color scale to be used for nodes. Defaults to PuBu. See <code>Rcolorbrewer::brewer.pal.info()</code> for all options.</dd>


<dt>color_edges</dt>
<dd>The color used for edges. Defaults to dodgerblue4.</dd>

</dl>

causal_frequency: Frequency map profile

Description

Usage

Arguments

Examples