Description Usage Arguments References
View source: R/Multiple.Testing.R
Ho: μ_{1j}μ_{2j} = 0
Ha: μ_{1j}μ_{2j} > 0
1  Multiple.Testing(s1, s2, m, p, D, delta, BCS, pho, K, alpha, beta)

s1 
We use bisection method to find the sample size, which let the equation h(n)=0. Here s1 and s2 are the initial value, 0 < s1 < s2. h(s1) should be smaller than 0. 
s2 
s2 is also the initial value, which is larger than s1 and h(s2) should be larger than 0. 
m 
m is the total number of multiple tests 
p 
p=n1/n. n1 is the sample size for group 1, n2 is the sample size for group 2, n=n1+n2. 
D 
D is the number of predictive genes. 
delta 
δ_j is the fix effect size among the predictive genes. We assume δ_j = delta, j =1,...,D and δ_j =0, j =D+1,....,m. 
BCS 
BCS means block compound symmetry, which is the length of each blocks. If we only have one block, BCS=m, which is refer to compound symmetry(CS). 
pho 
pho is the correlation parameter. If j and j' in the same block, ρ_{jj'}=pho ; otherwise ρ_{jj'} = 0 . 
K 
K is the number of replicates for the simulation. 
alpha 
here alpha is the adjusted Familywise error rate (FWER) 
beta 
here power is a global power. power=1beta 
Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.