plot_timecourse: Plot 1-D timecourse data.
In kusumikakd/EEG: A collection of utilities for EEG analysis

Description Usage Arguments Value Methods (by class) Author(s) Examples

Typically event-related potentials/fields, but could also be timecourses from frequency analyses for single frequencies. Averages over all submitted electrodes. Output is a ggplot2 object.

plot_timecourse(data, ...)

## S3 method for class 'data.frame'
plot_timecourse(
  data,
  electrode = NULL,
  time_lim = NULL,
  facet,
  add_CI = FALSE,
  baseline = NULL,
  colour = NULL,
  color = NULL,
  ...
)

## S3 method for class 'eeg_evoked'
plot_timecourse(
  data,
  electrode = NULL,
  time_lim = NULL,
  facet,
  add_CI = FALSE,
  baseline = NULL,
  colour = NULL,
  color = NULL,
  ...
)

## S3 method for class 'eeg_ICA'
plot_timecourse(
  data,
  component = NULL,
  time_lim = NULL,
  facet,
  add_CI = FALSE,
  baseline = NULL,
  colour = NULL,
  color = NULL,
  ...
)

## S3 method for class 'eeg_epochs'
plot_timecourse(
  data,
  electrode = NULL,
  time_lim = NULL,
  facet,
  add_CI = FALSE,
  baseline = NULL,
  colour = NULL,
  color = NULL,
  ...
)

## S3 method for class 'eeg_stats'
plot_timecourse(data, time_lim = NULL, electrode = NULL, ...)

`data`	EEG dataset. Should have multiple timepoints.
`...`	Other arguments passed to methods.
`electrode`	Electrode(s) to plot.
`time_lim`	Character vector. Numbers in whatever time unit is used specifying beginning and end of time-range to plot. e.g. c(-.1, .3)
`facet`	Deprecated. Please use standard ggplot2 facetting functions.
`add_CI`	Add confidence intervals to the graph. Defaults to 95 percent between-subject CIs.
`baseline`	Character vector. Times to use as a baseline. Takes the mean over the specified period and subtracts. e.g. c(-.1,0)
`colour`	Variable to colour lines by. If no variable is passed, only one line is drawn.
`color`	Alias for colour.
`component`	name or number of ICA component to plot