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Multiple comparison correction

Source: R/stats-tests.R
correctPValues.Rd

Applies multiple comparison correction to p-values.

Usage

correctPValues(p_values, method = c("fdr", "bonferroni", "holm", "bh", "none"))

Arguments

p_values

Matrix or vector of p-values.

method

Correction method: "bonferroni", "holm", "fdr" (Benjamini-Hochberg), "bh" (alias for fdr), or "none".

Value

Corrected p-values in the same format as input.

References

Maris, E. & Oostenveld, R. (2007). "Nonparametric statistical testing of EEG- and MEG-data." Journal of Neuroscience Methods, 164(1), 177-190. doi:10.1016/j.jneumeth.2007.03.024

See also

clusterPermutationTest() for cluster-based correction, tTestEpochs() for pointwise t-tests, findSignificantWindows() for identifying significant time windows.

Examples

# Example p-values
p <- matrix(runif(100), nrow = 10)
# Apply FDR correction
p_corrected <- correctPValues(p, method = "fdr")