Compute Grand Average ERP

Averages ERP waveforms across multiple PhysioExperiment objects (participants). Each input should already be averaged across trials.

Usage

eegERPgrandAverage(..., assay_name = NULL, output_assay = "grand_average")

Arguments

...

PhysioExperiment objects to average, or a list of them.

assay_name

Input assay name (default: first assay).

output_assay

Output assay name (default: "grand_average").

Value

A PhysioExperiment (the first input object) with the grand average waveform stored in output_assay. The grand average assay has the same dimensions as the input assays.

References

Luck, S. J. (2014). An Introduction to the Event-Related Potential Technique (2nd ed.). MIT Press.

See also

eegERPdetect(), eegERPmeasure(), eegERPtest(), eegERPdifference()

Examples

if (FALSE) { # \dontrun{
pe1 <- make_eeg_erp(n_epochs = 20, sr = 250)
pe2 <- make_eeg_erp(n_epochs = 20, sr = 250)
result <- eegERPgrandAverage(pe1, pe2)
} # }