MultipleTesting Module
This module contains functions to adjust for multiple testing errors in statistical tests.
Nested modules
| Modules | Description |
Estimate the q-values for a given set of p-values. The q-value of a test measures the proportion of false positives incurred (called the false discovery rate) when that particular test is called significant. |
Functions and values
| Function or value | Description |
Full Usage:
benjaminiHochbergFDR rawPValues
Parameters:
seq<float>
Returns: seq<float>
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Benjamini-Hochberg Correction (BH) This function applies the Benjamini-Hochberg multiple testing correcture and returns all False Discovery Rates to which the given p-values are still significant.
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Full Usage:
benjaminiHochbergFDRBy projection rawP
Parameters:
'a -> 'b * float
rawP : seq<'a>
Returns: ('b * float) list
Modifiers: inline Type parameters: 'a, 'b |
Benjamini-Hochberg Correction (BH) 'projection' should return a tuple of any identifier and the pValues as float, when applied to 'rawP' This function applies the Benjamini-Hochberg multiple testing correcture and returns all False Discovery Rates to which the given p-values are still significant. Note: corrected pValues are not sorted in original order!
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