## ----include=FALSE------------------------------------------------------------
knitr::opts_chunk$set(collapse = TRUE, comment = "#>")
library(ggpower)

## ----ex1----------------------------------------------------------------------
r1 <- power_compute("t_one_sample", "a_priori", d = 0.625, alpha = 0.05,
                      power = 0.95, tails = "one")
r1$outputs[c("total_sample_size", "actual_power", "df")]

## ----ex2----------------------------------------------------------------------
r2 <- power_compute("f_mreg_omnibus", "post_hoc", f2 = 0.1111111,
                      alpha = 0.05, total_n = 95, predictors = 5)
r2$outputs[c("noncentrality_parameter", "critical_f", "denominator_df", "power")]

## ----ex3----------------------------------------------------------------------
r3 <- power_compute("f_anova_special", "post_hoc", f = 0.2450722,
                      alpha = 0.05, total_n = 108, df1 = 4, groups = 36)
r3$outputs[c("noncentrality_parameter", "denominator_df", "power")]

## ----ex4----------------------------------------------------------------------
r4 <- power_compute("t_two_sample", "post_hoc", d = 0.5, n1 = 4, n2 = 8,
                      alpha = 0.05, tails = "one")
r4$outputs[c("noncentrality_parameter", "df", "power")]

