sim_meta: sim_meta

In filippogambarota/filor: Personal collection of useful functions

sim_meta

Description

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)

filippogambarota/filor documentation built on July 3, 2025, 8:39 p.m.