Estimates power by repeatedly resampling from observed data
rather than sampling from fitted distributions.
Usage
run_power_sim_empirical(
raw_data,
n_per_group,
effect_size,
alpha = 0.05,
test = "wilcoxon",
n_sim = 1000
)
Arguments
- raw_data
Numeric vector of observed values
- n_per_group
Number of samples per group
- effect_size
Fold change for treatment
- alpha
Significance level
- test
Statistical test to use
- n_sim
Number of simulations
Value
Power estimate (proportion of significant results)
