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knitr::opts_chunk$set(collapse = TRUE, comment = "#>", eval = FALSE)
A representative scanpath is accompanied by a distance matrix and dispersion estimate rather than selected visually.
representative <- representative_scanpath( scanpath_long, method = "medoid", distance = "edit", id_col = "person_trial_id", aoi_col = "aoi" ) plot_representative_scanpath(representative) plot_scanpath_dispersion(representative) plot_scanpath_similarity_matrix(representative) comparison <- compare_scanpath_distributions( scanpath_list, group = strategy_group, distance = "edit" ) plot_group_scanpath_transport(comparison)
Change-point segmentation provides candidate cognitive episodes. Labels are transparent study-specific rules, not latent psychological facts.
changes <- detect_process_changepoints( multimodal_stream, channels = c("gaze_velocity", "pupil_bc", "eda"), time_col = "time" ) plot_changepoint_ribbons(changes) episodes <- label_process_episodes(segment_process_episodes(changes)) plot_process_episodes(episodes) plot_episode_transition_graph(episodes) plot_episode_duration_distribution(episodes)
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