\name{plot.nem} \alias{plot.nem} \alias{plot.triples} \alias{plot.pairwise} \alias{plot.score} \alias{plot.ModuleNetwork} \alias{plot.nem.greedy} \alias{plot.nem.greedyMAP} \alias{plot.nem.bootstrap} \alias{plot.nem.jackknife} \alias{plot.nem.consensus} \alias{plot.nem.BN} \alias{plotnem} \title{plot nested effect model} \description{ plot graph of nested effects model, the marginal likelihood distribution or the posterior position of the effected genes } \usage{ \method{plot}{nem}(x, what="graph", remove.singletons=FALSE, PDF=FALSE, filename="nemplot.pdf", thresh=0, transitiveReduction=FALSE, plot.probs=FALSE, SCC=TRUE, D=NULL, draw.lines=FALSE, ...) } \arguments{ \item{x}{nem object to plot} \item{what}{(i), "graph", (ii) "mLL" = likelihood distribution, (iii) "pos" = posterior position of effected genes} \item{remove.singletons}{remove unconnected nodes from the graph plot} \item{PDF}{output as PDF-file} \item{filename}{filename of PDF-file} \item{thresh}{if x has a real valued adjacency matrix (weight matrix), don't plot edges with |weight| <= thresh} \item{transitiveReduction}{plot a transitively reduced graph} \item{plot.probs}{plot edge weights/probabilities. If regulation directions have been inferred (see \code{infer.edge.type}), upregulated edges are drawn red and downregulated edges blue. Edges, were no clear direction could be inferred, are drawn in black.} \item{SCC}{plot the strongly connected components graph} \item{D}{Visualize the nested subset structure of the dataset via \code{plotEffects} along with the graph and show the linking of E-genes to S-genes in the dataset. Should only be used for small networks. Default: Just plot the graph} \item{draw.lines}{If the nested subset structure is shown, should additionally lines connecting S-genes and their associated E-genes be drawn? WARNING: For larger datasets than e.g. 5 S-genes this most probably does not work, because the nested subset structure picture then partially overlaps with the graph picture. Default: Do not draw these lines} \item{...}{other arguments to be passed to the Rgraphviz plot function or to the graphics 'image' function.} } \value{ none } \author{Florian Markowetz , Holger Froehlich } \seealso{\code{\link{nem}}, \code{\link{plotEffects}}, \code{\link{infer.edge.type}}} \keyword{models}