inst/doc/probabilistic-aoi-compositions.R

In eyeprocess: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data

## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(collapse = TRUE, comment = "#>", eval = FALSE)

## -----------------------------------------------------------------------------
# aois <- data.frame(
#   aoi_id = c("prompt", "evidence", "options"),
#   xmin = c(0.05, 0.35, 0.10), xmax = c(0.30, 0.90, 0.90),
#   ymin = c(0.05, 0.05, 0.60), ymax = c(0.45, 0.45, 0.95)
# )
# prob <- assign_aois_probabilistic(samples, aois, precision = c(0.03, 0.04))
# plot_aoi_probability_map(prob)
# plot_aoi_boundary_risk(audit_aoi_separation(prob))
# uncertain_metrics <- propagate_aoi_uncertainty(
#   prob, draws = 500, time_col = "time", duration_col = "duration"
# )
# plot_aoi_metric_uncertainty(uncertain_metrics)

## -----------------------------------------------------------------------------
# composition <- derive_aoi_composition(
#   trial_features,
#   aois = c("prompt_dwell", "evidence_dwell", "options_dwell"),
#   id_cols = c("person_id", "item_id", "condition")
# )
# ilr <- transform_aoi_composition(composition, "ilr")
# comparison <- compare_aoi_compositions(composition, group = "condition")
# plot_aoi_ternary(composition)
# plot_aoi_variation_matrix(composition)
# plot_compositional_group_difference(comparison)