plotPcorSimulator: Partial correlation matrix simulator plot
In ldstatsHD: Linear Dependence Statistics for High-Dimensional Data

Description Usage Arguments Author(s) See Also Examples

graphical representation of the non-zero partial correlation matrix structure

1 2	## S3 method for class 'pcorSim' plot(x, vertex.size = 3, vertex.label = NA, hubsCol = TRUE, ...)

`x`	object of class `pcorSim`.
`vertex.size`	`plot.igraph` parameter: vertex sizes.
`vertex.label`	`plot.igraph` parameter: vertex label.
`hubsCol`	if `TRUE` hub nodes are highlighted in a different color.
`...`	arguments passed to or from other methods to the low level.

Caballe, Adria <a.caballe@sms.ed.ac.uk>, Natalia Bochkina and Claus Mayer.

pcorSimulator for partial correlation matrix generation.
pcorSimulatorJoint for joint partial correlation matrix generation.

EX1 <- pcorSimulator(nobs = 50, nclusters = 3, nnodesxcluster = c(100,30,50), 
                     pattern="powerLaw", plus = 0)
plot(EX1)
                
EX2 <- pcorSimulator(nobs = 25, nclusters = 2, nnodesxcluster = c(60,40), 
                     pattern = "powerLaw", plus = 1)
plot(EX2)