Detect components that load heavily on a small number of trials. Looks for components that have one particular trial that has a particularly high z-score.
ar_trialfoc(data, plot = TRUE, threshold = NULL, verbose = TRUE)
data |
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plot | Produce plot showing max z-scores and threshold for all ICA components. |
threshold | Specify a threshold (z-score) for high focality. NULL estimates the threshold automatically. |
verbose | Print informative messages. |
Chaumon, M., Bishop, D.V., Busch, N.A. (2015). A practical guide to the selection of independent components of the electroencephalogram for artifact correction. J Neurosci Methods. Jul 30;250:47-63. doi: 10.1016/j.jneumeth.2015.02.025