estimate_scale: Estimate Scaling Parameters for Fixation Data

In bbuchsbaum/eyesim: analysis of eye-movement data

Estimate Scaling Parameters for Fixation Data

Description

This function estimates the scaling parameters for two sets of fixation data using the Hausdorff distance as an optimization objective.

Usage

estimate_scale(x, y, lower = c(0.1, 0.1), upper = c(10, 10), window)

Arguments

x	A data frame or matrix containing the x coordinates of the first set of fixations.
y	A data frame or matrix containing the y coordinates of the second set of fixations.
lower	A numeric vector of length 2 specifying the lower bounds for the scaling parameters (default is c(0.1, 0.1)).
upper	A numeric vector of length 2 specifying the upper bounds for the scaling parameters (default is c(10, 10)).
window	A numeric vector of length 2 specifying the time window to restrict the fixations in 'y' (default is NULL, which considers all fixations).

Value

A list containing the estimated scaling parameters.

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