cloglog.sample.size
From binom v1.11
by Sundar DoraiRaj
Power and sample size
Power and sample size for a binomial proportion using the cloglog parameterization.
Usage
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)
Arguments
 p.alt
 The alternative proportion in a onesample test.
 n
 The sample size in a onesample test.
 p
 The null proportion in a onesample test. Default is 0.5.
 power
 The desired power level. Default is 0.80.
 alpha
 The desired alpha level  probability of a Type I error. Default is 0.05.
 alternative
 Nature of alternative hypothesis. One of "two.sided", "greater", "less".
 exact.n
 logical; If
TRUE
, the computed sample size will not be rounded up. Default isFALSE
.  recompute.power
 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 isFALSE
.  phi
 Dispersion parameter by which to inflate (
phi > 1
) or deflate (phi < 1
) variance. Default is 1.
Details
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 n
,
then the power is computed. If only n
is provided, the minimum
detectable difference is computed using the default power of 0.80.
Value

A
data.frame
containing the power, sample size and all of the
input which was used to perform the computations.
See Also
Examples
cloglog.sample.size(p.alt = 0.8)
cloglog.sample.size(n = 20)
cloglog.sample.size(n = 20, power = 0.9)
Community examples
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