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

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)
#> [1] 14.19437