run_similarity_analysis: Run similarity analysis for fixation data

In bbuchsbaum/eyesim: analysis of eye-movement data

Run similarity analysis for fixation data

Description

This function compares the similarity between each fixation group in a source_tab with a matching fixation group in ref_tab using the specified similarity metric. Optionally, permutation tests can be performed for assessing the significance of similarity values.

Usage

run_similarity_analysis(
  ref_tab,
  source_tab,
  match_on,
  permutations,
  permute_on = NULL,
  method,
  refvar,
  sourcevar,
  window = NULL,
  ...
)

Arguments

ref_tab	A data frame containing the reference fixation groups.
source_tab	A data frame containing the source fixation groups to be compared with the reference fixation groups.
match_on	A column name in both ref_tab and source_tab used for matching the fixation groups.
permutations	The number of permutations to perform for assessing the significance of similarity values (default: 0, no permutation tests).
permute_on	An optional column name for limiting the matching indices in permutation tests (default: NULL).
method	The similarity metric to use for comparing fixation groups (e.g., "sinkhorn", "overlap").
refvar	A column name in ref_tab containing the reference fixation groups.
sourcevar	A column name in source_tab containing the source fixation groups.
window	An optional numeric vector specifying the temporal window for computing similarity (default: NULL).
...	Extra arguments passed to the similarity function.

bbuchsbaum/eyesim documentation built on May 9, 2023, 3:29 a.m.