| gsidak.cv {MHTmult} | R Documentation |
The function for computing the critical value based on number of hypotheses m, fold k and significant level α.
gsidak.cv(m, k, alpha)
m |
number of hypotheses to be tested. |
k |
number of allowed type 1 errors in k-FWER controls. |
alpha |
significant level used to compare with adjusted p-values to make decisions, the default value is 0.05. |
A numeric vector of the adjusted p-values (of the same length as p) if make.decision = FALSE, or a list including original p-values, adjusted p-values and decision rules if make.decision = TRUE.
Yalin Zhu
gsidak.p.adjust, p.adjust, Sidak.p.adjust.
p <- c(0.031,0.023,0.029,0.005,0.031,0.000,0.874,0.399,0.293,0.077) gsidak.cv(m=length(p), k=2)