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Prepares participant-level condition differences in a wide matrix format commonly used by MNE-style one-sample cluster-permutation workflows.

Usage

export_gazepoint_mne_cluster_input(
  data,
  outcome_col,
  time_col,
  condition_col,
  participant_col,
  condition_a = NULL,
  condition_b = NULL,
  path = NULL,
  prefix = "gazepoint_mne_cluster",
  overwrite = FALSE,
  aggregate = TRUE
)

Arguments

data

A data frame.

outcome_col

Numeric outcome column.

time_col

Time-bin column.

condition_col

Condition column.

participant_col

Participant identifier column.

condition_a

Reference condition. If NULL, the first sorted condition is used.

condition_b

Comparison condition. If NULL, the second sorted condition is used.

path

Optional output directory. If NULL, files are not written.

prefix

File-name prefix used when path is supplied.

overwrite

Should existing files be overwritten?

aggregate

Should repeated participant-condition-time cells be averaged?

Value

A list containing long data, a wide difference matrix, and metadata, invisibly if files are written.