Description Usage Arguments Value Author(s) References See Also Examples
The function for calculating the adjusted p-values based on original available p-values and all attaianble p-values.
1 | GTBY.p.adjust(p, p.set, alpha, make.decision)
|
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 |
significant level used to compare with adjusted p-values to make decisions, the default value is 0.05. |
make.decision |
logical; if |
A numeric vector of the adjusted p-values (of the same length as p
).
Yalin Zhu
Gilbert, P. B. (2005). A modified false discovery rate multiple-comparisons procedure for discrete data, applied to human immunodeficiency virus genetics. Journal of the Royal Statistical Society: Series C (Applied Statistics), 54: 143-158.
Benjamini, Y., and Yekutieli, D. (2001). The control of the false discovery rate in multiple testing under dependency. Annals of Statistics, 29: 1165-1188.
GTBH.p.adjust
, MBH.p.adjust
, MBY.p.adjust
1 2 3 |
[1] 0.04096 0.04096 0.04096
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