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Last data update: 2014.03.03

R: Exploratory visualization of information spread of biological...

plot.NetworkSperical

R Documentation

Exploratory visualization of information spread of biological networks

Description

Global layout style:

A visualization of a network in a spherical form. The node with the highest degree is placed in the center, and its neighbors are plotted around this node in a circular manner. Whenever a node is encountered with multiple neighbors, the neighbors are plotted into the direction of that node. This process continues until all nodes are placed. This gives a compact spherical view of the network.

Usage

## S3 method for class 'NetworkSperical'
plot(x, mo="in", tkplot = FALSE, 
v.lab=FALSE, v.size=1, bg="black", ...)

Arguments

`x`	`x` is a graph object created from an adjacency matrix or from a tabular data of two columns using `graph()` function available in `igraph`.
`mo`	`mo` represents the mode of nodes. Can be either `in` or `out`.
`tkplot`	it is a boolean variable, if it is true, function will use 'tkplot' function to plot a graph, if it is false function will use plot function with the black background.
`v.lab`	`v.lab` is a logical value to show vertex label.
`v.size`	`v.size` is a numeric value to assign the size of nodes.
`bg`	`bg`is a color value to adjust background color of the plot.
`...`	`...` parameter for other inputs.

Value

Plots the input graph object using tkplot function.

Author(s)

Shailesh Tripathi, Frank Emmert-Streib

References

http://bio-complexity.com/

Examples

  #Example 1
   g <- barabasi.game(500, directed = TRUE)
   xx <- plot.NetworkSperical(g,  mo = "in", tkplot=FALSE)

  # Example 2
  g <- erdos.renyi.game(100, p=.1)
  xx <- plot.NetworkSperical(g)

Results


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.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'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(netbiov)
Loading required package: igraph

Attaching package: 'igraph'

The following objects are masked from 'package:stats':

    decompose, spectrum

The following object is masked from 'package:base':

    union

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/netbiov/plot.NetworkSperical.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot.NetworkSperical
> ### Title: Exploratory visualization of information spread of biological
> ###   networks
> ### Aliases: plot.NetworkSperical
> 
> ### ** Examples
> 
>   #Example 1
>    g <- barabasi.game(500, directed = TRUE)
>    xx <- plot.NetworkSperical(g,  mo = "in", tkplot=FALSE)
> 
>   # Example 2
>   g <- erdos.renyi.game(100, p=.1)
>   xx <- plot.NetworkSperical(g)
> 
> 
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>