densityPlot {CeTF} | R Documentation

## Density distribution of correlation coefficients and significant PCIT values

### Description

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

### Usage

    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)

[Package CeTF version 1.6.0 Index]