Compute power of test, or determine parameters to obtain target power for equal and unequal sample sizes.
power_prop_test(n = NULL, p1 = NULL, p2 = NULL, sig.level = 0.05, power = NULL, ratio = 1, alternative = c("two.sided", "one.sided"), tol = .Machine$double.eps^0.25)
| n | Number of observations (in group 1) |
|---|---|
| p1 | Probability in one group |
| p2 | Probability in other group |
| sig.level | Significance level (Type I error probability) |
| power | Power of test (1 minus Type II error probability) |
| ratio | The ratio n2/n1 between the larger group and the smaller group. Should be a value equal to or greater than 1 since n2 is the larger group. Defaults to 1 (equal group sizes) |
| alternative | String. Can be one- or two-sided test. Can be abbreviated. |
| tol | Numerical tolerance used in root finding, the default providing (at least) four significant digits |
Object of class power.htest, a list of the arguments (including the computed one) augmented with method and note elements.
Exactly one of the parameters n, delta, power, sd, sig.level, ratio sd.ratio
must be passed as NULL, and that parameter is determined from the others. Notice that the last two have non-NULL defaults
so NULL must be explicitly passed if you want to compute them.
uniroot is used to solve power equation for unknowns, so you may
see errors from it, notably about inability to bracket the root
when invalid arguments are given.
power.prop.test, power_t_test, power.t.test
power_prop_test(n=NULL, p1=.65, p2=.85, power=.8, ratio=2)#> #> Two-sample comparison of proportions power calculation with unequal sample sizes #> #> n = 52.06539, 104.13078 #> p1 = 0.65 #> p2 = 0.85 #> sig.level = 0.05 #> power = 0.8 #> alternative = two.sided #> #> NOTE: n is vector of number in each group #>