plotPost: Network Posterior Plot

In ternarynet: Ternary Network Estimation

Description

This function plots the graph consisting of all edges with a marginal posterior probability greater than the selected threshold.

Usage

plotPost(ternaryPost, threshold=0.5, type="interactive", ...) 

Arguments

ternaryPost	a ternaryPost object
type	the type of plot to produce. "interactive" produces a plot that can be altered in the plotting window using the tkplot function from the igraph package. "static" produces a standard plot in any R graphics device.
threshold	the marginal posterior probability required for an edge to be included in the plot.
...	additional parameters passed to the plotting function

Value

A plot of the network consisting of all edges with a marginal posterior probability greater than the selected threshold.

Author(s)

Matthew N. McCall and Anthony Almudevar

See Also

Almudevar A, McCall MN, McMurray H, Land H (2011). Fitting Boolean Networks from Steady State Perturbation Data, Statistical Applications in Genetics and Molecular Biology, 10(1): Article 47.

Examples

ssObj <- matrix(c(1,1,1,0,1,1,0,0,1),nrow=3)
pObj <- matrix(c(1,0,0,0,1,0,0,0,1),nrow=3)
tnfitObj <- tnetfit(ssObj, pObj)
tnpostObj <- tnetpost(tnfitObj, mdelta=10, msample=10)
plotPost(tnpostObj, type="static")

ternarynet documentation built on Nov. 8, 2020, 7 p.m.