composite_d_matrix: Matrix formula to estimate the standardized mean difference associated with a weighted or unweighted composite variable
Description
This function is a wrapper for composite_r_matrix that converts d values to correlations, computes the composite correlation implied by the d values, and transforms the result back to the d metric.
Usage
composite_d_matrix(d_vec, r_mat, wt_vec, p = 0.5)
Value
The estimated standardized mean difference associated with the composite variable.
Arguments
d_vec
Vector of standardized mean differences associated with variables in the composite to be formed.
r_mat
Correlation matrix from which the composite is to be computed.
wt_vec
Weights to be used in forming the composite (by default, all variables receive equal weight).
p
The proportion of cases in one of the two groups used the compute the standardized mean differences.
Details
The composite d value is computed by converting the vector of d values to correlations, computing the composite correlation (see composite_r_matrix), and transforming that composite back into the d metric.
See "Details" of composite_r_matrix for the composite computations.