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 | Roth.p.adjust(p, p.set, digits, 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.. |
digits |
minimal number of significant digits for the adjusted p-values, the default value is 4, see |
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
Roth, A. J. (1999). Multiple comparison procedures for discrete test statistics. Journal of statistical planning and inference, 82: 101-117.
1 2 3 |
[1] 0.04096 0.04096 0.04096
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