Power Calculations for Two-Sample Test for Proportions
Compute power of test, or determine parameters to obtain target power for equal and unequal sample sizes.
power_Binomial(n1 = NULL, n2 = NULL, p1 = 0.5, p2 = 0.5,
sig.level = 0.05, power = NULL, equal.sample = TRUE,
alternative = c("two.sided", "one.sided"))n1 |
sample size in group 1, or sample size in each group if equal.sample = TRUE |
n2 |
sample size in group 2 |
p1 |
probability in group 1 |
p2 |
probability in group 2 |
sig.level |
significance level (Type I error probability) |
power |
power of test (1 minus Type II error probability) |
equal.sample |
equal sample sizes for two groups, see details |
alternative |
one- or two-sided test |
Exactly one of the parameters n1, n2, p1, p2, power, and sig.level must be passed as NULL, and that parameter is determined from the others.
Notice that p1, p2, sig.level have non-NULL defaults, so NULL must be explicitly expressed if you want to compute them.
If equal.sample = TRUE is used, N in output will denote the number in each group.
Object of class "power.htest", a list of the arguments (including the computed one) augmented with note and method elements.
# calculate power, equal sizes power_Binomial(n1 = 100, p1 = 0.5, p2 = 0.7) # calculate power, unequal sizes power_Binomial(n1 = 150, n2 = 100, p1 = 0.5, p2 = 0.7) # calculate n2 power_Binomial(n1 = 100, p1 = 0.5, p2 = 0.7, power = 0.9, equal.sample = FALSE)
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