densityPlot | R Documentation |

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)

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