.fdr.qu {randRotation} | R Documentation |
Internal functions for p-value and FDR estimation
.fdr.qu( s0, stats, beta = 0.05, na.rm = FALSE, ref.vector = sort(s0, decreasing = TRUE, na.last = TRUE) ) .fdr.q( s0, stats, beta = 0.05, na.rm = FALSE, ref.vector = sort(s0, decreasing = TRUE, na.last = TRUE) ) .pFdr(s0, stats, method, pooled, na.rm, beta)
s0 |
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stats |
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beta |
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na.rm |
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ref.vector |
Reference vector defining at which grid points of |
method |
A p-value or FDR adjustment method, see
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pooled |
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numeric
vector of (adjusted) p-value or FDR estimations for s0
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Yekutieli D, Benjamini Y (1999). “Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics.” Journal of Statistical Planning and Inference, 82(1-2), 171–196. ISSN 03783758, doi: 10.1016/S0378-3758(99)00041-5, https://doi.org/10.1016/S0378-3758(99)00041-5.