1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48
|
mt.rawp2adjp package:multtest R Documentation
Adjusted p-values for simple multiple testing procedures
Description:
This function computes adjusted p-values for simple multiple
testing procedures from a vector of raw (unadjusted) p-values. The
procedures include the Bonferroni, Holm (1979), Hochberg (1988),
and Sidak procedures for strong control of the family-wise Type I
error rate (FWER), and the Benjamini & Hochberg (1995) and
Benjamini & Yekutieli (2001) procedures for (strong) control of
the false discovery rate (FDR). The less conservative adaptive
Benjamini & Hochberg (2000) and two-stage Benjamini & Hochberg
(2006) FDR-controlling procedures are also included.
Arguments:
rawp: A vector of raw (unadjusted) p-values for each hypothesis
under consideration. These could be nominal p-values, for
example, from t-tables, or permutation p-values as given in
mt.maxT and mt.minP. If the mt.maxT or mt.minP
functions are used, raw p-values should be given in the
original data order, rawp[order(index)].
proc: A vector of character strings containing the names of the
multiple testing procedures for which adjusted p-values are
to be computed. This vector should include any of the
following: "Bonferroni", "Holm", "Hochberg",
"SidakSS", "SidakSD", "BH", "BY", "ABH", "TSBH".
Adjusted p-values are computed for simple FWER- and FDR-
controlling procedures based on a vector of raw (unadjusted)
p-values by one or more of the following methods
ABH Adjusted p-values for the adaptive Benjamini & Hochberg
(2000) step-up FDR-controlling procedure. This method
ammends the original step-up procedure using an estimate
of the number of true null hypotheses obtained from
p-values.
TSBH Adjusted p-values for the two-stage Benjamini & Hochberg
(2006) step-up FDR-controlling procedure. This method
ammends the original step-up procedure using an estimate
of the number of true null hypotheses obtained from a
first-pass application of "BH". The adjusted p-values
are a-dependent, therefore alpha must be set in the
function arguments when using this procedure. |
Partager