clustCoefPercentage {CeTF} | R Documentation

## Calculate the clustering coefficient as a percentage

### Description

Given an adjacency matrix, calculate the clustering coefficient as a percentage of non-zero adjacencies.

### Usage

    clustCoefPercentage(mat)

### Arguments

`mat` | An adjacency matrix. Calculating the clustering coefficient percentage only makes sense if some connections are zero i.e. no connection.

### Value

Returns the clustering coefficient as a porcentage.

### References

Nathan S. Watson-Haigh, Haja N. Kadarmideen, and Antonio Reverter (2010). PCIT: an R package for weighted gene co-expression networks based on partial correlation and information theory approaches. Bioinformatics. 26(3) 411-413. https://academic.oup.com/bioinformatics/article/26/3/411/215002

### Examples

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

    # running PCIT analysis
    results <- PCIT(simNorm)

    # getting the clustering coefficient as percentage
    clustCoefPercentage(results$adj_sig)

[Package CeTF version 1.6.0 Index]