Description Usage Arguments Value References Examples
Generates random Hedges' d (1981, 1982) effect sizes and their variances.
1 |
K |
Number of effect sizes to generate. |
X_t |
The population mean (mu) of the (t)reatment group. |
var_t |
The population variance of the treatment group mean. |
N_t |
The number of samples of the treatment mean. When a non-negative integer, all treatment means will be estimated using the same N. A vector of unequal N's can also be taken; if so, K will be ignored and the number of randomly generated means will equal the length of that vector, and each mean will be based on each N within the vector. |
X_c |
The population mean (mu) of the (c)ontrol group. |
var_c |
The population variance of the control group mean. |
N_c |
The number of samples of the control mean. When a non-negative integer, all control means will be estimated using the same N. A vector of unequal N's can also be taken; if so, K will be ignored and the number of randomly generated means will equal the length of that vector, and each mean will be based on each N within the vector. |
bias_correction |
When |
A data table with columns of random effect sizes (d) and their variances (var_d).
Hedges, L.V. 1981. Distribution theory for Glass's estimator of effect size and related estimators. Journal of Educational Statistics 6: 107-128.
Hedges, L.V. 1982. Estimation of effect size from a series of independent experiments. Psychological Bulletin 92: 490-499.
1 | random_d(K = 5, X_t = 25, var_t = 1, N_t = 15, X_c = 10, var_c = 1, N_c = 15)
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