densityPlot.Rd
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)
mat1 | Raw adjacency matrix. |
---|---|
mat2 | Significant adjacency matrix. |
threshold | Threshold of correlation module to plot (default: 0.5). |
Returns an density plot of raw correlation with significant PCIT values.
# 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)