render_causal_net

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

render_causal_net function

<dl><dt>causal_net</dt>
<dd>A causal net created by <code>causal_net</code></dd>
<dt>rankdir</dt>
<dd>Rankdir to be used for DiagrammeR.</dd>
<dt>layout</dt>
<dd>Layout to be used for DiagrammeR.</dd>
<dt>render</dt>
<dd>Whether to directly render the DiagrammeR graph or simply return it.</dd>
<dt>fixed_edge_width</dt>
<dd>If TRUE, don't vary the width of edges.</dd>
<dt>fixed_node_pos</dt>
<dd>When specified as a data.frame with three columns 'act', 'x', and 'y' the position of nodes is fixed. Note that his can only be used with the 'neato' layout engine.</dd>
<dt>...</dt>
<dd>Further parameters forwarded to the DiagrammeR render function.</dd></dl>

Arguments

Renders a Causal net as graph — render_causal_net

<dl>

<dt>causal_net</dt>
<dd>A causal net created by <code>causal_net</code></dd>


<dt>rankdir</dt>
<dd>Rankdir to be used for DiagrammeR.</dd>


<dt>layout</dt>
<dd>Layout to be used for DiagrammeR.</dd>


<dt>render</dt>
<dd>Whether to directly render the DiagrammeR graph or simply return it.</dd>


<dt>fixed_edge_width</dt>
<dd>If TRUE, don't vary the width of edges.</dd>


<dt>fixed_node_pos</dt>
<dd>When specified as a data.frame with three columns 'act', 'x', and 'y' the position of nodes is fixed. Note that his can only be used with the 'neato' layout engine.</dd>


<dt>...</dt>
<dd>Further parameters forwarded to the DiagrammeR render function.</dd>

</dl>

render_causal_net: Renders a Causal net as graph

Description

Usage

Value

Arguments

Examples