rms_s2s: RMS of Sample-to-Sample Differences

In ETDQualitizer: Automated Eye Tracking Data Quality Determination for Screen-Based Eye Trackers

RMS of Sample-to-Sample Differences

Description

Computes root mean square of differences between successive gaze samples.

Usage

rms_s2s(azi, ele, central_tendency_fun = mean)

Arguments

azi	Azimuth values in degrees.
ele	Elevation values in degrees.
central_tendency_fun	Function to compute central tendency (default: mean).

Value

A list with rms, rms_azi, and rms_ele, the total RMS of sample-to-sample distances and that of the azimuthal and elevation components (all in degrees).

Examples

rms_s2s(c(1, 2, 3), c(1, 2, 3))

ETDQualitizer documentation built on Sept. 9, 2025, 5:40 p.m.