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)
TRUE
, the computed sample size will
not be rounded up. Default is FALSE
.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 FALSE
.phi > 1
) or
deflate (phi < 1
) variance. Default is 1.data.frame
containing the power, sample size and all of the
input which was used to perform the computations.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.binom.confint
cloglog.sample.size(p.alt = 0.8)
cloglog.sample.size(n = 20)
cloglog.sample.size(n = 20, power = 0.9)
Run the code above in your browser using DataLab