Representative scanpaths and scanpath distributions

Representative scanpaths and scanpath distributions. These functions form the eyeprocess 0.6.0.9000 measurement-intelligence programme and use dependency-free reference implementations with explicit evidence limits.

Usage

representative_scanpath(x, method = c("medoid", "barycenter", "consensus"),
  id_col = "person_id", aoi_col = "aoi", x_col = "x", y_col = "y",
  distance = c("multimatch", "edit", "transport"))
scanpath_dispersion(x)
compare_scanpath_distributions(x, group, distance = c("multimatch", "edit",
  "transport"), permutations = 499)
bootstrap_representative_scanpath(x, draws = 250, seed = 20260807)
plot_scanpath_atlas(x, ...)
plot_representative_scanpath(x, ...)
plot_scanpath_dispersion(x, ...)
plot_group_scanpath_transport(x, ...)
plot_scanpath_similarity_matrix(x, ...)

Arguments

x

Input object or data structure appropriate for the selected analysis.

method

Argument controlling `method`; see the function usage and returned audit metadata.

id_col

Argument controlling `id_col`; see the function usage and returned audit metadata.

aoi_col

Argument controlling `aoi_col`; see the function usage and returned audit metadata.

x_col

Argument controlling `x_col`; see the function usage and returned audit metadata.

y_col

Argument controlling `y_col`; see the function usage and returned audit metadata.

distance

Argument controlling `distance`; see the function usage and returned audit metadata.

group

Argument controlling `group`; see the function usage and returned audit metadata.

permutations

Argument controlling `permutations`; see the function usage and returned audit metadata.

draws

Argument controlling `draws`; see the function usage and returned audit metadata.

seed

Argument controlling `seed`; see the function usage and returned audit metadata.

...

Additional arguments passed to the underlying method or plotting function.

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.

See also

plot_diagnostics(), plot_evidence(), and plot_sensitivity().