Correct EDA for ambient or body temperature — correct_gazepoint_eda

Regresses an EDA/conductance signal on one or more continuous temperature covariates and returns a temperature-adjusted residual series. The adjusted signal is temperature-adjusted EDA, not "pure" cognitive or emotional EDA.

Usage

correct_gazepoint_eda_temperature(
  dat,
  eda_col = "GSR_US",
  temperature_cols,
  group_cols = NULL,
  time_col = NULL,
  output_col = "eda_temperature_adjusted",
  fitted_col = "eda_temperature_fitted",
  model_by_group = TRUE,
  add_intercept_mean = TRUE
)

Arguments

dat: A data frame.
eda_col: Numeric EDA/conductance column.
temperature_cols: One or more numeric temperature columns.
group_cols: Optional grouping columns.
time_col: Optional time column retained in summaries.
output_col: Output residual-adjusted EDA column.
fitted_col: Output fitted temperature component column.
model_by_group: Logical. If TRUE, fit one model per group.
add_intercept_mean: Logical. If TRUE, add the group mean EDA back to residuals so the adjusted signal remains on the original scale.

Value

A data frame with adjusted EDA columns and model-summary attributes.