Create a basic signal plot

plot creates a ggplot object in which the EEG signal over the whole recording is plotted by electrode. Useful as a quick visual check for major noise issues in the recording.

# S3 method for eeg_lst
plot(x, .max_sample = 6400, ...)

# S3 method for psd_lst
plot(x, ...)

Arguments

x

An eeg_lst object.

.max_sample

Downsample to approximately 6400 samples by default.

...

Not in use.

Value

A ggplot object

Details

Note that for normal-size datasets, the plot may take some time to compile. If necessary, plot will first downsample the eeg_lst object so that there is a maximum of 6,400 samples. The eeg_lst object is then converted to a long-format tibble via as_tibble. In this tibble, the .key variable is the channel/component name and .value its respective amplitude. The sample number (.sample in the eeg_lst object) is automatically converted to seconds to create the variable time. By default, time is then plotted on the x-axis and amplitude on the y-axis, and uses scales = "free"; see ggplot2::facet_grid().

To add additional components to the plot such as titles and annotations, simply use the + symbol and add layers exactly as you would for ggplot2::ggplot.

See also

Other plotting functions: annotate_electrodes(), annotate_events(), annotate_head(), eeg_downsample(), ggplot.eeg_lst(), plot_components(), plot_in_layout(), plot_topo(), theme_eeguana()

Examples

# Basic plot
plot(data_faces_ERPs)


# Add ggplot layers
library(ggplot2)
plot(data_faces_ERPs) +
  coord_cartesian(ylim = c(-500, 500))
#> Coordinate system already present. Adding new coordinate system, which will
#> replace the existing one.