Power and sample size
Power and sample size for a binomial proportion using the cloglog parameterization.
cloglog.sample.size(p.alt, n = NULL, p = 0.5, power = 0.8, alpha = 0.05, alternative = c("two.sided", "greater", "less"), exact.n = FALSE, recompute.power = FALSE, phi = 1)
- The alternative proportion in a one-sample test.
- The sample size in a one-sample test.
- The null proportion in a one-sample test. Default is 0.5.
- The desired power level. Default is 0.80.
- The desired alpha level - probability of a Type I error. Default is 0.05.
- Nature of alternative hypothesis. One of "two.sided", "greater", "less".
- logical; If
TRUE, the computed sample size will not be rounded up. Default is
- logical; If
TRUE, after the sample size is computed, the power will be recomputed. This is only advantageous when the sample size is rounded up. Default is
- Dispersion parameter by which to inflate (
phi > 1) or deflate (
phi < 1) variance. Default is 1.
This function can be used to calculate sample size, power or minimum
detectable difference. It determines what to compute base on the
arguments provided. If
p.alt is given, but
n is not, then
sample size is computed. If
p.alt is given along with
then the power is computed. If only
n is provided, the minimum
detectable difference is computed using the default power of 0.80.
data.framecontaining the power, sample size and all of the input which was used to perform the computations.
cloglog.sample.size(p.alt = 0.8) cloglog.sample.size(n = 20) cloglog.sample.size(n = 20, power = 0.9)