split.mst: Network plot
In netbiov: A package for visualizing complex biological network

Description Usage Arguments Value Examples

Modular layout style:

A large complex network is plotted by splitting it into its modules. The positions of the vertices in each subnetwork are determined by using the fruchterman-reingold algorithm or the Kamada-kawai algorithm for the minimum spanning tree of each subnetwork. The edges of the minimum spanning tree are shown in black color.

splitg.mst(x,layout.function=NULL, mod.list=NULL, 
colors=NULL,mst.edge.col="white", 
vertex.color = c("red","green","blue","orange"),
random.v.color=FALSE,in.con.ed.col=NULL,tkplot=FALSE,
v.size=2, e.size=.5, mst.e.size=1, v.lab=FALSE, 
bg="black", v.lab.cex=0.5, e.lab.cex=0.5, 
v.lab.col="skyblue", lab.dist=0, v.sf=4, sf.modules = 5, ...)

`x`	`x` is a graph object, created using igraph package.
`layout.function`	is a 'function' class or a vector of functions to plot the layout of each module by a function in 'layout.function'.
`mod.list`	`mod.list` is a list object, which provides a modular information about the graph, each components of mod.list contains a vector of nodes to be plotted.
`v.size`	is a numeric value or a numeric vector which contains values to assign the size of the nodes.
`e.size`	is a numeric value to assign the width to edges.
`e.lab.cex`	is a numeric variable; this determines the size of the labels of the vertices or the modules.
`lab.dist`	is a numeric variable; this adjusts labels of vertices.
`sf.modules`	is an integer variable is used to scale up or scale down the graph plot.
`v.sf`	is a numeric value. This is used to adjust vertex size when `v.size` input is a numeric vector.
`mst.edge.col`	This option assigns a color to the edges of the minimum spanning tree of each module of graph 'g'. The default color is black for 'tkplot=TRUE'. If 'tkplot=FALSE' it is white.
`random`	`random` is a logical value, this option is used to choose nodes of split graphs randomly
`colors`	`colors` is a vector of colors. This option is a vector of the edge colors to assign colors to the edges of the graph.
`vertex.color`	`vertex.colors` is a vector of colors to assign colors to the vertices of the modules of the graph.
`random.v.color`	is a logical value, this option is used to assign colors to the vertices colors of the modules, colors for modules are picked randomly.
`in.con.ed.col`	is a scaler, assign colors to the edges which are showing connections between the modules.
`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 a black background.
`mst.e.size`	is a numeric value which assigns the edge width to the edges of minimum spanning tree of the input graph.
`v.lab`	is a logical value to show vertex label.
`v.lab.cex`	is a numerical value to set the font size of vertex labels.
`v.lab.col`	is a hexadecimal character value to assign colors to vertex labels.
`sf`	is a numeric value. This is used to adjust vertex size when `v.size` input is a numeric vector.
`bg`	is a color value for background.
`...`	`...` parameter for other inputs.

This function plots a graph using 'tkplot' function available in the 'igraph'. This function returns a list,first component of list is a graph object, second component of the list contains x and y coordinates, third component of list contains color ids of edges of the graph etc.

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  data("PPI_Athalina")
  data("modules_PPI_Athalina")
        id <- splitg.mst(g1, mod.list=lm, random.v.color=TRUE, tkplot=FALSE )

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