composite_d_matrix | R Documentation |

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.

composite_d_matrix(d_vec, r_mat, wt_vec, p = 0.5)

`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. |

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.

The estimated standardized mean difference associated with the composite variable.

composite_d_matrix(d_vec = c(1, 1), r_mat = matrix(c(1, .7, .7, 1), 2, 2), wt_vec = c(1, 1), p = .5)

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