Plot an ERP image from a single electrode. Uses a boxcar smooth over a series of trials in order to make across-trial patterns more apparent.

erp_image(data, ...)

# S3 method for data.frame
erp_image(
  data,
  electrode = "Cz",
  time_lim = NULL,
  smoothing = 10,
  clim = NULL,
  interpolate = FALSE,
  na.rm = TRUE,
  ...
)

# S3 method for eeg_epochs
erp_image(
  data,
  electrode = "Cz",
  time_lim = NULL,
  smoothing = 10,
  clim = NULL,
  interpolate = FALSE,
  na.rm = TRUE,
  ...
)

# S3 method for eeg_ICA
erp_image(
  data,
  component = "Comp001",
  smoothing = 10,
  clim = NULL,
  interpolate = FALSE,
  na.rm = TRUE,
  ...
)

# S3 method for eeg_tfr
erp_image(
  data,
  electrode = "Cz",
  time_lim = NULL,
  smoothing = 10,
  clim = NULL,
  interpolate = FALSE,
  freq_range = NULL,
  na.rm = TRUE,
  ...
)

Arguments

data

Data frame or eegUtils object to be plotted.

...

Other arguments passed to the method.

electrode

Electrode for which to generate an ERP image.

time_lim

Time limits of plot.

smoothing

Number of trials to smooth over when generating image.

clim

Character vector of min and max values of plotting colour range. e.g. c(-5,5). Defaults to min and max.

interpolate

Perform interpolation to produce smoother looking plots. Defaults to FALSE.

na.rm

Remove trials with NA amplitudes after smoothing. Defaults to TRUE.

component

eeg_ICA component to plot

freq_range

A numeric vector specify the range of frequencies to average over. A single number will find the closest matching frequency. A vector of length two will match average over frequencies within that range.

Value

A ggplot object

Methods (by class)

  • data.frame: Default function operates on normal data frames

  • eeg_epochs: Create an erp_image from eeg_epochs

  • eeg_ICA: Plot component image from eeg_ICA

  • eeg_tfr: Plot component image from eeg_tfr

Author

Matt craddock matt@mattcraddock.com

Examples

erp_image(demo_epochs, electrode = "A31")

erp_image(demo_epochs, electrode = "A31", interpolate = TRUE)

erp_image(demo_epochs, electrode = "A31", smoothing = 5)

erp_image(compute_tfr(demo_epochs,
 foi = c(4, 30), n_cycles = 3, n_freq = 20, verbose = FALSE, keep_trials = TRUE),
 electrode = "A31", freq_range = c(8, 12))