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 0.5108790 0.04865300 0.2205742      0 30 30
#> 2   2 0.8045880 0.05783129 0.2404814      0 30 30
#> 3   3 0.4336632 0.07001336 0.2646004      0 30 30
#> 4   4 0.2272552 0.07379644 0.2716550      0 30 30
#> 5   5 0.5513241 0.07906605 0.2811869      0 30 30
#> 6   6 0.6679670 0.04347523 0.2085072      0 30 30
#> 7   7 0.5887980 0.06866455 0.2620392      0 30 30
#> 8   8 0.8814972 0.08392140 0.2896919      0 30 30
#> 9   9 0.5185970 0.06354618 0.2520837      0 30 30
#> 10 10 1.0490456 0.05232454 0.2287456      0 30 30