64 lines
2.2 KiB
Plaintext
64 lines
2.2 KiB
Plaintext
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{{alias}}( pvals, method[, comparisons] )
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Adjusts supplied p-values for multiple comparisons via a specified method.
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The `method` parameter can be one of the following values:
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- **bh**: Benjamini-Hochberg procedure controlling the False Discovery
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Rate (FDR).
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- **bonferroni**: Bonferroni correction fixing the family-wise error rate
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by multiplying the p-values with the number of comparisons. The Bonferroni
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correction is usually a too conservative adjustment compared to the others.
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- **by**: Procedure by Benjamini & Yekutieli for controlling the False
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Discovery Rate (FDR) under dependence.
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- **holm**: Hommel's method controlling family-wise error rate. It is
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uniformly more powerful than the Bonferroni correction.
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- **hommel**: Hommel's method, which is valid when hypothesis tests are
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independent. It is more expensive to compute than the other methods.
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By default, the number of comparisons for which the p-values should be
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corrected is equal to the number of provided p-values. Alternatively, it is
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possible to set `comparisons` to a number greater than the length of
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`pvals`. In that case, the methods assume `comparisons - pvals.length`
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unobserved p-values that are greater than all observed p-values (for Holm's
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method and the Bonferroni correction) or equal to `1` for the remaining
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methods.
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Parameters
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----------
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pvals: Array<number>
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P-values to be adjusted.
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method: string
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Correction method.
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comparisons: integer (optional)
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Number of comparisons. Default value: `pvals.length`.
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Returns
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-------
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out: Array<number>
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Array containing the corrected p-values.
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Examples
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--------
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> var pvalues = [ 0.008, 0.03, 0.123, 0.6, 0.2 ];
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> var out = {{alias}}( pvalues, 'bh' )
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[ 0.04, 0.075, ~0.205, 0.6, 0.25 ]
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> out = {{alias}}( pvalues, 'bonferroni' )
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[ 0.04, 0.15, 0.615, 1.0, 1.0 ]
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> out = {{alias}}( pvalues, 'by' )
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[ ~0.457, ~0.856, 1.0, 1.0, 1.0 ]
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> out = {{alias}}( pvalues, 'holm' )
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[ 0.2, 0.6, 1.0, 1.0, 1.0 ]
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> out = {{alias}}( pvalues, 'hommel' )
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[ 0.16, 0.6, 1.0, 1.0, 1.0 ]
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See Also
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--------
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