Density distribution of correlation coefficients and significant PCIT values

Generate the density plot for adjacency matrices. This function uses the raw adjacency matrix and significant adjacency matrix resulted from PCIT function.

densityPlot(mat1, mat2, threshold = 0.5)

Arguments

mat1	Raw adjacency matrix.
mat2	Significant adjacency matrix.
threshold	Threshold of correlation module to plot (default: 0.5).

Value

Returns an density plot of raw correlation with significant PCIT values.

Examples

# loading a simulated normalized data
data('simNorm')

# getting the PCIT results
results <- PCIT(simNorm[1:20, ])

# using the PCIT results to get density distribution of correlation coefficients
densityPlot(mat1 = results$adj_raw,
            mat2 = results$adj_sig,
            threshold = 0.5)