Roth.rej {MHTdiscrete} | R Documentation |
The number of rejected hypotheses for Roth's step-up FWER controlling procedure.
Description
The function for calculating the number of rejected hypotheses (rejection region) based on original available p-values, all attaianble p-values and the given significant level.
Usage
Roth.rej(p,p.set,alpha)
Arguments
p |
numeric vector of p-values (possibly with |
p.set |
a list of numeric vectors, where each vector is the vector of all attainable p-values containing the available p-value for the corresponding hypothesis.. |
alpha |
the given significant level for Roth's procedure, the default value is 0.05. |
Value
An integer value of the number of rejected hypotheses.
Author(s)
Yalin Zhu
References
Roth, A. J. (1999). Multiple comparison procedures for discrete test statistics. Journal of statistical planning and inference, 82: 101-117.
Hochberg, Y. (1988). A sharper Bonferroni procedure for multiple tests of significance. Biometrika, 75: 800-803.
Examples
p <- c(pbinom(1,8,0.5),pbinom(1,5,0.75),pbinom(1,6,0.6))
p.set <-list(pbinom(0:8,8,0.5),pbinom(0:5,5,0.75),pbinom(0:6,6,0.6))
Roth.rej(p,p.set,0.05)