Description Usage Arguments Details Value Examples
View source: R/pwr_prop_2pop.R
pwr_prop_2pop
computes the power and the sample size for testing
two proportions.
1 2 | pwr_prop_2pop(p1, p2, delta0 = 0, n1 = NULL, n2 = NULL, pwr = NULL,
alternative = "two.sided", sig_level = 0.05)
|
p1 |
proportion for the first population |
p2 |
proportion fot the second population |
delta0 |
difference of proportions |
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 'p1' and 'p2' are required. The effect size is computed internally.
pwr_prop_2pop
returns a list with the following
components:
proportion for the first population
proportion for the second population
significance level
A tibble
with sample size, n1
for the
first population and n2
for the second population
1 2 3 4 5 6 | # Power
pwr_prop_2pop(p1 = 0.3, p2 = 0.15, n1 = 10, n2 = 10, pwr = NULL,
alternative = "two.sided", sig_level = 0.05)
# Sample size
pwr_prop_2pop(p1 = 0.3, p2 = 0.15, n1 = NULL, n2 = NULL, pwr = 0.99,
alternative = "two.sided", sig_level = 0.05)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.