This is a supportive function for plotting the network feature according to the outputs of Network.STD and Network.Fast. If the mean of the marginal distribution of a certain node is larger than 0.5, we consider this node as selected.
Usage
Plot.Subnetwork(net,trace)
Arguments
net
an "n" by "n" binary (0/1) adjacent matrix of network configurations, where n=length(pvalue);
same as the argument net in function Network.STD() and Network.Fast()
trace
the trace (results of each iteration) generated by the functions Networks.STD() and Networks.Fast().Please set as trace=total$trace where total is the output of the two functions, Networks.STD() and Networks.Fast()
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
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Type 'license()' or 'licence()' for distribution details.
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'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(BANFF)
Loading required package: foreach
Loading required package: doParallel
Loading required package: iterators
Loading required package: parallel
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/BANFF/Plot.Subnetwork.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Plot.Subnetwork
> ### Title: Plotting the Network Feature Selected
> ### Aliases: Plot.Subnetwork
>
> ### ** Examples
>
> library(igraph)
Attaching package: 'igraph'
The following objects are masked from 'package:stats':
decompose, spectrum
The following object is masked from 'package:base':
union
> g=barabasi.game(10,power=0.5)
> net=as(get.adjacency(g),"matrix")
> trace=matrix(c(rep(1,5),rep(0,5)),nrow=1)
> Plot.Subnetwork(net,trace)
>
>
>
>
>
> dev.off()
null device
1
>
providing 
.