This function calculates the power, Type II error, and Type I error of tests given p-values. Power, Type II error, and confidence intervals calculated using `stats::binom.test()` which implements the Newcombe method.
Usage
calculate_power_t2error(
df,
alpha = 0.05,
power_confidence_int = 95,
n = NA_real_
)
Arguments
- df
Data frame where each column is a vector of p-values from a statistical test
- alpha
Numeric significance level; defaults to 0.05
- power_confidence_int
confidence interval
- n
Numeric value of sample size; repeated for convenience
Value
A data frame with columns for Type 1 error, Type 2 error, and power as well as rows for each test