Package index • ggpower

Compute API

power_compute(): Compute statistical power analyses
ggpower_tests(): List supported statistical power tests
ggpower_result(): Create a ggpower result object
format_result_html(): Format a ggpower result as structured HTML for Shiny UI

t-test Helpers

power_t_one_sample(): Compute Power for a One-Sample t-Test
power_t_two_sample(): Compute Power for a Two-Sample t-Test (Equal Sample Sizes)
power_t_paired(): Compute power for a paired-samples t-test
ggpower_t_one_sample(): Plot Power Curve for a One-Sample t-Test
ggpower_ttest(): Plot Power Curve for a Two-Sample t-Test

Effect Sizes

effect_size_d(): Compute Cohen's d from means and standard deviation
effect_size_f(): Compute Cohen's f from eta-squared
effect_size_f2(): Compute Cohen's f2 from R-squared
effect_size_f2_increase(): Compute f2 for an R-squared increase
effect_size_h(): Compute Cohen's h for two proportions
effect_size_q(): Compute Cohen's q for two correlations
effect_size_w(): Compute chi-square effect size w
eta2_from_f(): Convert Cohen's f to eta-squared
odds_ratio_from_probs(): Compute odds ratio from two probabilities
r2_from_f2(): Convert f2 to R-squared

Publication Figures

theme_ggpower(): Publication-ready ggpower theme
plot_power_curve(): Plot a power curve
plot_distribution(): Plot H0 and H1 distributions
save_power_plot() save_distribution_plot(): Save a ggpower plot

Calculator

ggpower_calculator(): Evaluate a ggpower calculator script

App

run_app(): Run the Shiny Application