R help - Nov 2008 - Copula package: How to calculate correlation matrix using 144 variables to denote parameters for normal copula?

Dears,

I calculated correlation matrix using 144 variables with a given function:
cor_flows_vec=cor()

Then I  defined a normal copula with the above correlation matrix
myCop=normalCopula(param=cor_flows_vec, dim = 144, dispstr = "un")

Then I created a multivariate distribution with our defined copula while the
univariete functions were fitted by GEV distribution using fExtremes package
library(fExtremes)

paramMargin=function(d){

n=length(d[1,])
param=c(1:n)

for (i in seq(1:n)){
    param[i]= list(list(xi=d[1,i], mu=d[2,i], beta=d[3,i]))
    }
    return(param)
    }

paramMargins=paramMargin(d)

myMvd <- mvdc(copula=myCop,
margins=c(rep("gev",144)),paramMargins=paramMargins)

The problem occures when I am trying to sample from the mvdc regarding
correlation matrix.
rmvdc(myMvd, 3)

Cam anyone help? Thanks

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