Find significant time windows

Identifies contiguous time periods with significant effects.

Usage

findSignificantWindows(p_values, times = NULL, alpha = 0.05, min_duration = 0)

Arguments

p_values

Vector of p-values across time.

times

Vector of time points.

alpha

Significance threshold (default: 0.05).

min_duration

Minimum duration of significant window in time units.

Value

A data.frame with columns: start, end, duration, min_p.

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

correctPValues() for multiple comparison correction, clusterPermutationTest() for cluster-based permutation testing, tTestEpochs() for pointwise t-tests.

Examples

# Example p-values
times <- seq(-0.2, 0.8, length.out = 100)
p <- c(rep(0.5, 30), rep(0.01, 20), rep(0.5, 50))
windows <- findSignificantWindows(p, times)