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Getting Started with the GUI

In plain English

The ggpower app is a wide-screen research workspace. A left sidebar switches between modules so you can run general statistical power analyses, biomarker discovery workflows, or clinical trial designs without leaving the same session.

Launch the app

run_app()

On a 1080p display you get a two-column analysis grid. At 1920px and 2560px width the layout expands to a three-column grid with larger plot panels.

Typical workflow

  1. Pick a module from the sidebar.
  2. Choose test family, statistical test, and analysis mode.
  3. Enter inputs in the parameter panel.
  4. Click Calculate — results appear as metric cards with full detail below.
  5. Review the distribution plot and sample-size power curve.
  6. Open Protocol to download the session log.

Worked example (script)

The same calculation is available programmatically:

power_compute(
  "t_two_sample",
  analysis = "a_priori",
  d = 0.5,
  alpha = 0.05,
  power = 0.8,
  tails = "two"
)
#> ggpower result
#> Test: t test: Means - difference between two independent means (two groups)
#> Analysis: a_priori
#> 
#> Input parameters
#>   tails: two
#>   effect_size_d: 0.5
#>   alpha: 0.05
#>   sample_size_group_1: 64
#>   sample_size_group_2: 64
#>   target_power: 0.8
#> 
#> 
#> Output parameters
#>   noncentrality_parameter: 2.828427
#>   critical_t: -1.978971,  1.978971
#>   df: 126
#>   total_sample_size: 128
#>   actual_power: 0.8014596
#> 
#> 
#> Notes
#> - A priori sample sizes are rounded up to integer values and actual power is recomputed.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.