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Plot ERP Waveform with Confidence Interval

Source: R/eeg-vis.R
eegPlotERP.Rd

Plots event-related potential waveforms averaged across epochs, with optional confidence interval ribbons. Supports condition-based comparisons when metadata(x)$conditions is available.

Usage

eegPlotERP(
  x,
  channels = NULL,
  conditions = NULL,
  ci = 0.95,
  show_ci = TRUE,
  epoch_start = 0,
  assay_name = NULL
)

Arguments

x

A PhysioExperiment object with epoched (3D) EEG data (time x channels x epochs).

channels

Character vector of channel labels to plot. If NULL, the grand average across all channels is used.

conditions

Character vector of condition labels to include. If NULL and metadata(x)$conditions exists, all conditions are plotted.

ci

Confidence level for the interval (default: 0.95).

show_ci

Logical; if TRUE, display confidence interval ribbon.

epoch_start

Numeric start time of each epoch in seconds for the x-axis (default: 0).

assay_name

Input assay name. If NULL, uses the default assay.

Value

A ggplot2 object.

Examples

if (FALSE) { # \dontrun{
pe <- make_eeg_erp(n_epochs = 40, sr = 250)
eegPlotERP(pe, channels = "Cz")
} # }