Description Usage Arguments Value Examples

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

function.

1 | ```
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.

1 2 3 4 5 6 7 8 9 10 | ```
# 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)
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.