degreeCor  R Documentation 
Calculate the degree of the correlation network based on xdata
degreeCor(
xdata,
cutoff = 0,
considerUnweighted = FALSE,
forceRecalcDegree = FALSE,
forceRecalcNetwork = FALSE,
nCores = 1,
...,
consider.unweighted = deprecated(),
force.recalc.degree = deprecated(),
force.recalc.network = deprecated(),
n.cores = deprecated()
)
xdata 
calculate correlation matrix on each column. 
cutoff 
positive value that determines a cutoff value. 
considerUnweighted 
consider all edges as 1 if they are greater than 0. 
forceRecalcDegree 
force recalculation of penalty weights (but not the network), instead of going to cache. 
forceRecalcNetwork 
force recalculation of network and penalty weights, instead of going to cache. 
nCores 
number of cores to be used. 
... 
extra parameters for cor function. 
consider.unweighted 

force.recalc.degree 

force.recalc.network 

n.cores 
a vector of the degrees.
n.col < 6
xdata < matrix(rnorm(n.col * 4), ncol = n.col)
degreeCor(xdata)
degreeCor(xdata, cutoff = .5)
degreeCor(xdata, cutoff = .5, considerUnweighted = TRUE)
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