graph_vis: graph visualization and community detection
In bAIo-lab/Questools: multivariate analysis and visualization

Converts the graph to an igraph object, finds communities and plots it using qgraph package.

1 2	graph_vis(graph, directed = F, community = T, betweenness = T, plot = F, ...)

`graph`	An arbitrary graph object in R.
`directed`	Set it TRUE when the graph is directed. (default = FALSE)
`community`	A logical value to show if the node communities should be detected and colored in the returned graph. (default = TRUE)
`betweenness`	A logical value to show if the node betweenness measurements should be computed and returned from the function. (default = TRUE)
`plot`	A logical value to show if the graph should be plotted. (default = FALSE)
`...`	Any additional arguments described below.

If plot = TRUE it plots the non-interactive graph (If plot.community = TRUE plots communities too) also returns a list contains:

`graph`	an igraph object.
`betweenness`	betweenness measurements of each node.
`network`	a visNetwork plot of the graph.
`communities`	a named vector indicating the community of each node.

groups: A list that indicates which community each node is. The automatic community detection will be ignored when it is set.
plot.community: Logical indicating if communities should be plotted. Defaults to FALSE.
filename: Name of the plot file without extension. (qgraph function argument)
filetype: A character indicates the file type to save the plots in. (qgraph function argument)
plot.community.list: A list indicates which communities should be plotted. When is not set, will plot all the communities.

Elyas Heidari, Vahid Balazadeh

1 2 3 4	## Visualize Harman23.cor covariance matrix require(datasets) data("Harman23.cor") gv <- graph_vis(Harman23.cor$cov, plot = TRUE, plot.community = TRUE, plot.community.list = c(1, 2))