Compute statistical power analyses — power

Runs a power analysis using the shared ggpower compute engine. The function supports classical test families and analysis modes.

Usage

power_compute(test, analysis = "post_hoc", ...)

Arguments

test: Character test id. Use ggpower_tests() to list available ids.
analysis: One of "a_priori", "compromise", "criterion", "post_hoc", or "sensitivity".
...: Test-specific input parameters.

Value

A ggpower_result object.

Examples

power_compute("t_one_sample", "a_priori", d = 0.625, alpha = 0.05,
  power = 0.95, tails = "one")
#> ggpower result
#> Test: t test: Means - difference from constant (one sample case)
#> Analysis: a_priori
#> 
#> Input parameters
#>   tails: greater
#>   effect_size_d: 0.625
#>   alpha: 0.05
#>   total_sample_size: 30
#>   target_power: 0.95
#> 
#> 
#> Output parameters
#>   noncentrality_parameter: 3.423266
#>   critical_t: 1.699127
#>   df: 29
#>   actual_power: 0.9551444
#> 
#> 
#> Notes
#> - A priori sample sizes are rounded up to integer values and actual power is recomputed.
#>