Plot a Feature Regressor

Usage

# S3 method for class 'FeatureReg'
plot(
  x,
  grid = NULL,
  show_onsets = FALSE,
  onset_color = NULL,
  onset_alpha = 0.5,
  precision = NULL,
  layout = c("stack", "overlay"),
  ...
)

Arguments

x: A FeatureReg object created by feature_regressor().
grid: Numeric vector of time points for evaluation. If NULL (default), a grid from 0 to max(times) + span with step 0.25 s is used.
show_onsets: Logical; if TRUE, mark sample times with ticks on the time axis. Defaults to FALSE because a dense feature has one sample per bin.
onset_color: Colour for sample-time ticks. If NULL (default), a neutral grey.
onset_alpha: Alpha transparency for sample-time ticks. Default is 0.5.
precision: Numeric sampling precision for HRF evaluation. If NULL (default), the grid spacing capped at 0.33 s.
layout: For multi-basis HRFs, "stack" (default) or "overlay".
...: Additional arguments passed to the underlying plot functions.

Value

Invisibly returns a data frame with the time and response values.

Examples

feat <- feature_regressor(abs(sin(seq(0, 8, by = 0.1))), dt = 0.1)
plot(feat, grid = seq(0, 12, by = 0.5))