clustCoefPercentage: Calculate the clustering coefficient as a percentage

Description Usage Arguments Value References Examples

View source: R/clustCoefPercentage.R

Description

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

Usage

1

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

1
2
3
4
5
6
7
8
# loading a simulated counts data
data('simNorm')

# running PCIT analysis
results <- PCIT(simNorm)

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

CeTF documentation built on Nov. 25, 2020, 2 a.m.