pwr_t_test_2pop_homo: Power and sample size for t-test for two population.
In gilberto-sassi/power:

Description Usage Arguments Details Value Examples

pwr_t_test_2pop_homo computes the power and the sample size for testing difference of means of two normal populations with equal and unknown variance.

1 2	pwr_t_test_2pop_homo(sigma, delta, delta0 = 0, n1 = NULL, n2 = NULL, pwr = NULL, alternative = "two.sided", sig_level = 0.05)

`sigma`	populational standard deviation
`delta`	difference of means
`delta0`	difference of means under null hypothesis
`n1`	number of observations (sample size) for the first population
`n2`	number of observations (sample size) for the second population
`pwr`	power of test 1 + β (1 minus type II error probability)
`alternative`	a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less"
`sig_level`	significance level (Type I error probability)

Exactly one of the parameters samples sizes ('n1' and 'n2') and 'pwr' must be passed as NULL, and that parameter is determined from the other. Notice that the last one has non-NULL default so NULL must be explicitly passed if you want to compute it.

#' The parameters 'sigma' and 'delta' are required. The effect size is computed internally.

pwr_t_test_2pop_homo returns a list with the following components:

sigma: populational standard deviation
delta: difference of means
delta0: difference of means under null hypothesis
sig_level: significance level
power_sampleSize: A tibble with sample size, n1 for the first population and n2 for the second population

# Power
pwr_t_test_2pop_homo(delta = 5, delta0 = 0, sigma = 2, n1 = 10, n2 = 10,
pwr = NULL, alternative = "two.sided", sig_level = 0.05)
# Sample size
pwr_t_test_2pop_homo(delta = 5, delta0 = 0, sigma = 2, n1 = NULL, n2 = NULL,
pwr = 0.95, alternative = "two.sided", sig_level = 0.05)