sim_meta

Simulate meta-analysis data using unstandardized mean difference as effect size.

Usage

sim_meta(k, mu, tau2, n1, n2 = NULL, v = 1)

Arguments

k

number of studies.

mu

average effect size.

tau2

between studies heterogeneity.

n1

sample size for the first group.

n2

sample size for the second group. Default to NULL

v

pooled within-study variance. Default to 1

Value

dataframe with simulated data

Examples

# simulate equal-effects model with 10 studies, 30 participants in each study
# and an effect size of 0.5
sim_meta(10, 0.5, 0, 30, 30)
#>    id         yi         vi       sei deltai n1 n2
#> 1   1 0.80508150 0.04509161 0.2123478      0 30 30
#> 2   2 0.55122462 0.06404108 0.2530634      0 30 30
#> 3   3 0.39661581 0.08079445 0.2842436      0 30 30
#> 4   4 0.65909035 0.06240211 0.2498041      0 30 30
#> 5   5 1.00972508 0.06401846 0.2530187      0 30 30
#> 6   6 0.98661772 0.07374413 0.2715587      0 30 30
#> 7   7 0.08981994 0.06980589 0.2642081      0 30 30
#> 8   8 0.36059244 0.08490492 0.2913845      0 30 30
#> 9   9 0.19804635 0.06640416 0.2576900      0 30 30
#> 10 10 0.64436055 0.09421276 0.3069410      0 30 30