rms_s2s: RMS of Sample-to-Sample Differences
In ETDQualitizer: Automated Eye Tracking Data Quality Determination for Screen-Based Eye Trackers
View source: R/ETDQualitizer.R
rms_s2s R Documentation
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 May 21, 2026, 9:07 a.m.
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View source: R/ETDQualitizer.R
| rms_s2s | R Documentation |
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: |
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))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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