ldstatsHD (version 1.0.1)

plot.pcorSimJoint: Joint partial correlation matrix simulator plot

Description

graphical representation of two non-zero partial correlation structures

Usage

# S3 method for pcorSimJoint
plot(x, minn = 0, col = c("blue","red","green"), vertex.size=3, 
      edgesThickness = FALSE, ...)

Arguments

x

object of class pcorSimJoint.

minn

used for visualization purposes in very dense networks. It only plots nodes that have degree larger than minn.

col

vector defining edge colors: common edges (first element), only non-zero coefficients for first population (second element) and only non-zero coefficients for second population (third element).

vertex.size

plot.igraph parameter: vertex sizes.

edgesThickness

if TRUE, an edge thickness is proportional to the magnitude of its underlying estimated partial correlation coefficient.

…

arguments passed to or from other methods to the low level.

See Also

pcorSimulatorJoint for joint partial correlation matrix generation.

Examples

# NOT RUN {
EX1 <- pcorSimulatorJoint(nobs = 50, nclusters = 2, nnodesxcluster = c(30, 40), 
                         pattern = "pow", diffType = "cluster", dataDepend = "ind", 
                         pdiff = 0.2, diagCCtype = "dicot", diagNZ.strength = .5)
plot(EX1, edgesThickness = TRUE)

EX2 <- pcorSimulatorJoint(nobs = 50, nclusters = 3, nnodesxcluster = c(30, 40,60), 
                          pattern = "pow", diffType = "cluster", dataDepend = "diag", 
                          pdiff = 0.4, diagCCtype = "beta")
plot(EX2)

 
# }