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R/localClusteringCoefficient.R
In PCIT: Partial Correlation Coefficient with Information Theory
localClusteringCoefficient <- function(adj) {
result <- .Fortran( "localCC", adj=as.single(adj), nGenes=as.integer(nrow(adj)), cc=as.single(rep(0, length=nrow(adj))), E=as.single(rep(0,nrow(adj))), k=as.integer(rep(0,nrow(adj))) )
return(as.vector(result$cc))
}
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PCIT documentation built on May 1, 2019, 8:10 p.m.
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localClusteringCoefficient <- function(adj) {
result <- .Fortran( "localCC", adj=as.single(adj), nGenes=as.integer(nrow(adj)), cc=as.single(rep(0, length=nrow(adj))), E=as.single(rep(0,nrow(adj))), k=as.integer(rep(0,nrow(adj))) )
return(as.vector(result$cc))
}
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Any scripts or data that you put into this service are public.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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