plotPost {ternarynet} | R Documentation

## Network Posterior Plot

### 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")

[Package ternarynet version 1.36.0 Index]