mark_oob: Mark out of boundary fixations

In davebraze/FDBeye: Functions to Ease Work with Eyetracker Data

Mark out of boundary fixations

Description

This function is modified from Cohen's paper

Usage

mark_oob(data, xy_bounds, trial_num, cur_trial)

Arguments

data	A data.frame containing the fixation data
xy_bounds	A mtraix containing the boundaries of fixations. If it has only one row, all trials use the same boundary. If it has many rows, the number of row should be equal to the number of trials, and each row corresponds to the boundary of the corresponding trial. In each row, it has four columns: x_min: Left boundary (minimum x value within the boundary). x_max: Right boundary (maximum x value within the boundary). y_min: Top boundary (minimum y value within the boundary). y_max: Bottom boundary (maximum y value within the boundary).
trial_num	Integer indicating the total number of trials
cur_trial	Integer indicating the current trail

Details

This function marks fixations outside boundary as 'oob'

Value

A copy of data with out of boundary fixations marked as 'oob' in column type

Author(s)

Tao Gong [e-mail]

davebraze/FDBeye documentation built on April 28, 2022, 1:20 a.m.