Simulate a meta-analysis dataset

sim_stats(
  measure = "mean",
  measure_spread = "sd",
  n_df = sim_n(),
  wide = TRUE,
  rdist = "norm",
  par = list(mean = 50, sd = 0.2),
  tau_sq = 0.4,
  effect_ratio = 1.2
)

Arguments

measure: Calculate sample median or mean. Defaults to mean.
measure_spread: Defaults to standard deviation, sd. Specify "iqr", "range", "sd", "var". Will have to check how many of these are done right now.
n_df: data.frame of sample sizes.
wide: Logical indicating if wide format, as is expected by metafor. Defaults to TRUE.
rdist: string indicating distribution, "norm", "lnorm", "exp", or "pareto"
par: list of parameter arguments
tau_sq: Variance \(\gamma_k \sim N(0, \tau^2)\) associated with the random effect
effect_ratio: ratio of population effects intervention / control