eye_density: eye_density

In bbuchsbaum/eyesim: analysis of eye-movement data

eye_density

Description

Compute a density map for a set of eye fixations.

Usage

eye_density(x, sigma, xbounds, ybounds, outdim, weights, normalize, ...)

Arguments

x	A data frame containing the eye fixations.
sigma	Numeric, the standard deviation of the kernel used for density estimation.
xbounds	Numeric vector of length 2, defining the minimum and maximum x-axis bounds of the density map.
ybounds	Numeric vector of length 2, defining the minimum and maximum y-axis bounds of the density map.
outdim	Numeric vector of length 2, specifying the number of rows and columns in the output density map.
weights	Optional, a numeric vector of fixation weights to be used in the density estimation.
normalize	Logical, whether to normalize the output density map such that its values sum to 1.
...	Additional arguments passed on to the method.

Details

This function uses kernel density estimation to compute a density map of eye fixations. It takes various parameters to control the computation and output of the density map.

Value

An object of class "eye_density", "density", and "list" containing the computed density map and other relevant information.

See Also

eye_density.fixation_group for an example of a specific method implementation for this generic.

Other eye_density: eye_density.fixation_group()

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