Plot an EDA-gram-style time-frequency representation — plot_gazepoint_eda

Creates a dependency-light EDA-gram-style representation using sliding-window spectral power. This is inspired by EDA-gram visualisations, but it does not implement a full sparse dictionary decomposition unless such a model is supplied externally.

Usage

plot_gazepoint_eda_gram(
  dat,
  eda_col = "GSR_US",
  time_col = "CNT",
  group_cols = NULL,
  group_id_to_plot = NULL,
  sampling_rate = NULL,
  window_seconds = 30,
  step_seconds = 5,
  frequency_range = c(0.01, 0.5),
  frequency_bins = 64,
  log_power = TRUE,
  plot = TRUE,
  main = "EDA-gram"
)

Arguments

dat: A data frame containing EDA data.
eda_col: Numeric EDA/conductance column.
time_col: Numeric time column.
group_cols: Optional grouping columns.
group_id_to_plot: Optional group ID to plot. If NULL, plots the first available group.
sampling_rate: Optional sampling rate in Hz. If NULL, estimated from time_col.
window_seconds: Sliding-window length.
step_seconds: Sliding-window step.
frequency_range: Frequency range shown in Hz.
frequency_bins: Number of frequency bins.
log_power: Logical. If TRUE, plot log1p power.
plot: Logical. If TRUE, draw the EDA-gram.
main: Plot title.

Value

Invisibly returns a list with overview, gram_table, plot_matrix, and settings.