Determine sample size with the Classical power analysis method

This method is used to estimate the minimum sample size that a design needs to reach a statistical power, given a desired significance level and expected effect size.

ssp_power_traditional(tpr, delta, max_n, alpha = 0.05)

Arguments

tpr	Numeric. The desired long-run probability of obtaining a significant result with a one-sided t-test, given Delta.
delta	Numeric. The expected population effect size.
max_n	Integer. The maximum number of participants per group (both groups are assumed to have equal sample size).
alpha	Numeric. The level of significance.

Value

The function returns a list of one named numeric vector. The vector called `n1` contains the determined sample size per group for the given design.

Examples

if (FALSE) {
SampleSizePlanner::ssp_power_traditional(tpr = 0.8, delta = 0.5, max_n = 5000, alpha = 0.05)
}