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This dependence structure is constructed by applying the function : h(u1,u2,u3)=(u1,sin(2πu1)u2π,(1+u3π2)(u32I14u1sin(πx1)I14<u1)) to uniformly drawn 3-dimensional random vectors. The dataset is the ranks of h(u).

funcdep_data

Format

A matrix with 500 rows and 3 columns

The example section below gives the code to re-generate this data if needed.

Details

This dataset is studied in O. Laverny, V. Maume-Deschamps, E. Masiello and D. Rullière (2020).

References

laverny2020cort

Examples

set.seed(seed = 12,kind = "Mersenne-Twister",normal.kind = "Inversion")
x = matrix(runif(1500),500,3)
x[,2] = sin(2*pi*x[,1])-x[,2]/pi
x[,3] = (x[,3]*(x[,1]<1/4)/2 - sin(pi**(x[,1]))*(x[,1]>1/4))*(1+x[,3]/(pi^2))
funcdep_data = apply(x,2,function(x){return(rank(x,ties.method = "max"))})/(501)