plot,DDGraph,missing-method

plot

specifies the colors to be used to color nodes. Can be any of the following:
<ul>
<li> named vector of colors
</li>
<li> logical value (TRUE = nodes colored in default 0.1 to 1e-3 range, FALSE = no node coloring)  - only available for binary datasets.
</li>
<li> list of parameters to pass to mapEnrichmentToColorsDual(), 
valid pameters are: "palette.pos", "palette.neg", "class.col", "scale", "max.color.index"
</li>
</ul>


legend

only.legend

plot.class

if plot.class=TRUE the label of the class node

class.label

plot.pvals

the RGraphviz arrowtail/head symbol name for conditional independence tests

ci.symbol

a function to format the p values to be displayed on directed edges

pvals.format

pvals.fontsize

main

Distinguish direct from indirect interactions in gene
regulation and infer combinatorial code from highly correlated
variables such as transcription factor binding profiles. The
package implements the Neighbourhood Consistent PC algorithm
(NCPC) and draws Direct Dependence Graphs to represent
dependence structure around a target variable. The package also
provides a unified interface to other Graphical Modelling
(Bayesian Network) packages for distinguishing direct and
indirect interactions.

Robert Stojnic

ddgraph

Distinguish direct and indirect interactions with Graphical
Modelling

plot,DDGraph,missing-method function

specifies the colors to be used to color nodes. Can be any of the following:
<ul><li>named vector of colors</li><li>logical value (TRUE = nodes colored in default 0.1 to 1e-3 range, FALSE = no node coloring)  - only available for binary datasets.</li><li>list of parameters to pass to mapEnrichmentToColorsDual(), 
valid pameters are: "palette.pos", "palette.neg", "class.col", "scale", "max.color.index"</li></ul>

plot,DDGraph,missing-method: Plot DDGraphs using RGraphviz...

Description

Usage

Arguments