sim_n.Rd
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.
sim_n(
k = 3,
min_n = 20,
max_n = 200,
prop = 0.5,
prop_error = 0.1,
wide = FALSE
)
number of studies, defaults to 3
lower bound for sample sizes, defaults to 20
upper bound for sample sizes, defaults to 200
proportion of n we expect
what do we expect 90% of proportions to fall within?
if true, case and control sample sizes are provided in one row
Other simulation Functions that contribute to simulation pipeline.:
beta_par()
,
default_parameters
,
intervention_proportion()
,
sim_df()
,
sim_sample()
Other sample_size Generating meta-anlysis sample sizes.:
beta_par()
,
intervention_proportion()