A Monte-Carlo approximation that accounts for the hierarchical
structure (cells nested within replicates). Used mainly for
reporting.
Usage
cr_power_analysis(
effect_size,
n_replicates,
n_cells_per_rep,
alpha = 0.05,
test = "t_test",
n_sim = 500
)
Arguments
- effect_size
Cohen's d.
- n_replicates
Number of replicate units per group.
- n_cells_per_rep
Cells per replicate.
- alpha
Type I error rate.
- test
Only "t_test" implemented.
- n_sim
Number of simulations (default 500).
Value
A tibble with the computed power.
Examples
cr_power_analysis(effect_size = 0.8, n_replicates = 4,
n_cells_per_rep = 100)
#> # A tibble: 1 × 5
#> effect_size n_replicates n_cells_per_rep alpha power
#> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 0.8 4 100 0.05 1
