Cognitive-episode change-point detection
042-process-episodes.RdCognitive-episode change-point detection. These functions form the eyeprocess 0.6.0.9000 measurement-intelligence programme and use dependency-free reference implementations with explicit evidence limits.
Usage
detect_process_changepoints(x, channels = c("gaze_velocity", "aoi", "pupil", "eda"),
time_col = NULL, window = 10, threshold_quantile = 0.9, min_segment = 5)
segment_process_episodes(x, ...)
label_process_episodes(x, rules = NULL, model = NULL)
compare_episode_structure(x, group)
plot_process_episodes(x, ...)
plot_changepoint_ribbons(x, ...)
plot_episode_waterfall(x, ...)
plot_episode_transition_graph(x, ...)
plot_episode_duration_distribution(x, ...)Arguments
- x
Input object or data structure appropriate for the selected analysis.
- channels
Argument controlling `channels`; see the function usage and returned audit metadata.
- time_col
Argument controlling `time_col`; see the function usage and returned audit metadata.
- window
Argument controlling `window`; see the function usage and returned audit metadata.
- threshold_quantile
Argument controlling `threshold_quantile`; see the function usage and returned audit metadata.
- min_segment
Argument controlling `min_segment`; see the function usage and returned audit metadata.
- ...
Additional arguments passed to the underlying method or plotting function.
- rules
Argument controlling `rules`; see the function usage and returned audit metadata.
- model
Argument controlling `model`; see the function usage and returned audit metadata.
- group
Argument controlling `group`; see the function usage and returned audit metadata.
Details
The APIs return auditable S3 objects. Plot wrappers call registered base-graphics methods. Experimental or approximate engines are labelled in object status fields and should be validated before confirmatory or operational use.
Value
An eyeprocess result object, data frame, model object, plot, or audit table as documented by the individual function.