FDRsamplesize2 (version 0.2.0)

find.sample.size: Determines the sample size needed to achieve the desired FDR and average power

Description

Determines the sample size needed to achieve the desired FDR and average power by given the proportion of true null hypothesis.

Usage

find.sample.size(alpha, pwr, avepow.func, n0 = 3, n1 = 6, max.its = 50, ...)

Value

A list with the following components:

n

a sample size estimate

computed.avepow

average power

desired.avepow

desired average power

alpha

fixed p-value threshold for multiple testing procedure

n.its

number of iteration

max.its

maximum number of iteration, default is 50

n0

lower limit for initial sample size range

n1

upper limit for initial sample size range

Arguments

alpha

the fixed p-value threshold (scalar numeric)

pwr

desired average power (scalar numeric)

avepow.func

an R function to compute average power

n0

lower limit for initial sample size range

n1

upper limit for initial sample size range

max.its

maximum number of iterations

...

additional arguments to average power function

Examples

#Here, calculating the sample size for the study involving many sign tests
average.power.signtest;
p.adj = 0.001;
p = rep(c(0.8,0.5), c(100,9900));
find.sample.size(alpha = p.adj, pwr = 0.8, avepow.func = average.power.signtest, p = p)