generate_structured_corrmat | R Documentation |
parameters:
generate_structured_corrmat(
g = NULL,
num.variables = 100,
hi.cor.tmp = 0.8,
lo.cor.tmp = 0.2,
hi.cor.fixed = 0.8,
graph.type = "Erdos-Renyi",
plot.graph = FALSE,
make.diff.cors = FALSE,
nbias = 1,
use.Rcpp = FALSE
)
g |
random graph |
num.variables |
number of independent variables in data matrix |
hi.cor.tmp |
high correlation proportion |
lo.cor.tmp |
low correlation proportion |
hi.cor.fixed |
high correlation for network connected/non-functional features |
graph.type |
either Erdos-Renyi or Scale-Free graph |
plot.graph |
logical indicating whether to plot graph or not |
make.diff.cors |
logical indicating whether case correlation matrix for differential correlation is being created or not |
nbias |
number of functional interaction variables |
use.Rcpp |
logical, whether to use Rcpp or not |
hi.cor |
upper baseline pairwise functional correlation in control group |
lo.cor |
lower baseline pairwise functional correlation in control group |
A list containing:
structured correlation matrix
degree vector corresponding to network adjacency
adjacency matrix corresponding to network
indices of functional variables
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