simulation - using copula in r with own data -

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i have created simulated data outside of r (e.g. matrix with, say, 3 columns, each 10,000 values , each equal probability). extract of data below

    total1  total2  total3 1   448824  7895.13 42233 2   297701  8068.44 37376 3   399065  4823.11 10423 4   425672  7567.62 65052 5   487482  7360.86 74758 6   400459  4344.44 39242 7   504143  7336.72 42842

i want define own correlation matrix between these 3 variables represented data in columns , produce aggregate distribution using copula function in r. need turn 10,000 values in each column distribution first before can use in copula, create user-defined distribution margin object in copula package? documentation says "a user-defined distribution, example, fancy, can used margin provided dfancy, pfancy, , qfancy available." so, how create 3 user-defined distributions each of 10,000 values , how apply copula (e.g. normal one) using own specified 3x3 correlation matrix, create aggregate distribution?


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