IntermediateNonNor: Computes the intermediate correlations for all continuous...

In BinOrdNonNor: Concurrent Generation of Binary, Ordinal and Continuous Data

Description

The function computes the intermediate correlation values of pairwise correlations between continuous variables.

Usage

IntermediateNonNor(skew.vec, kurto.vec, cormat)

Arguments

skew.vec	The skewness vector for continuous variables.
kurto.vec	The kurtosis vector for continuous variables.
cormat	A matrix of pairwise target correlation between continuous variables. It is a symmetric square matrix with diagonal elements being 1.

Value

A pairwise correlation matrix of intermediate correlation for continuous variables.

References

Demirtas, H., Hedeker, D., and Mermelstein, R.J. (2012). Simulation of massive public health data by power polynomials. Statistics in Medicine, 31(27), 3337-3346.

Vale, C.D., and Maurelli, V.A.(1983). Simulating multivariate nonnormal distributions. Psychometrika, 48(3), 465-471.

See Also

IntermediateONN, cmat.star.BinOrdNN

Examples

IntermediateNonNor(skew.vec=c(1,2), kurto.vec=c(2, 7), 
                   cormat=matrix(c(1,-0.47,-0.47,1),2,2))

BinOrdNonNor documentation built on March 22, 2021, 9:07 a.m.