Description Usage Arguments Value
This function combines p-values using adaptive Fisher method.
1 | AF_combine(p, weight = 1, log = TRUE)
|
p |
P-values to be combined. A matrix with dimenstions K by B. If an object of p-values from perm.mar.cov() is used, K is the number of OTUs, and B is the number of permutataion plus 1. The first column is observed marginal p-values, and the rest columns are p-values for permutation. |
weight |
Weights given to the p-values. |
log |
Indicator of whether p-values are on the log scale. |
A list containing the following elements:
pvalue |
P-value of AF statistic for observed sample (the first element) and all permuted samples. |
which.selected |
The index of features to be selected. |
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