sim_n: simulate meta-analysis sample sizes

In softloud/metasim: Simulate Meta-Analytic Data

Usage

sim_n(k = 3, min_n = 20, max_n = 200, prop = 0.5,
  prop_error = 0.1, wide = FALSE)

Arguments

k	number of studies, defaults to 3
min_n	lower bound for sample sizes, defaults to 20
max_n	upper bound for sample sizes, defaults to 200
prop	proportion of n we expect
prop_error	what do we expect 90 \item wideif true, case and control sample sizes are provided in one row

Generate a set of meta-analysis sample sizes. We assume that control and intervention sizes are mostly within some proportion prop of the same sample size.

softloud/metasim documentation built on July 15, 2019, 8:02 p.m.