n.fdr.oneway {FDRsamplesize2}

Sample size calculation for one-way ANOVA

Description

Find the sample size needed to have a desired false discovery rate and average power for a large number of one-way ANOVA tests.

Usage

n.fdr.oneway(fdr, pwr, theta, k, pi0.hat = "BH")

Arguments

fdr

desired FDR (scalar numeric)

pwr

desired average power (scalar numeric)

theta

sum of ((group mean - overall mean)/stdev)^2 across all groups for each hypothesis test (vector)

k

the number of groups to be compared

pi0.hat

method to estimate proportion pi0 of tests with true null, including: "HH" (p-value histogram height), "HM" (p-value histogram mean), "BH" (Benjamini & Hochberg 1995), "Jung" (Jung 2005)

Value

A list with the following components:

n

per-group sample size estimate

computed.avepow

average power

desired.avepow

desired average power

desired.fdr

desired FDR

input.pi0

proportion of tests with a true null hypothesis

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

Examples

theta=rep(c(2,0),c(100,900));
n.fdr.oneway(fdr = 0.1, pwr = 0.8, theta = theta, k = 2, pi0.hat = "BH")