calculate_rms: Calculate sample-to-sample root mean square distance (RMS) of...

In kollaR: Event Classification, Visualization and Analysis of Eye Tracking Data

Calculate sample-to-sample root mean square distance (RMS) of a data segment

Description

Calculate the RMS of a gaze segment with X and Y coordinates. RMS is inversely related to precision, so that lower RMS indicates higher precision calculate_rms calculates the root mean square of the Euclidean distance between subsequent samples Adjust the parameters 'xcol' and 'ycol' to specify the data you want to work with. For example, it is possible to calculate the RMS of the left and right eye separately by specifying appropriate columns.

Usage

calculate_rms(gaze_in, xcol = "x.raw", ycol = "y.raw", one_degree = 40)

Arguments

gaze_in	data frame with gaze to process. Must contain the variables specified in the parameters 'xcol' and 'ycol'
xcol	Name of column containing x coordinates
ycol	Name of column containing y coordinates
one_degree	One degree of the visual field in the units of the X and Y coordinates as specified in 'xcol' and 'ycol'

Value

sample-to-sample RMS

Examples

rms <- calculate_rms(sample.data.unprocessed)

kollaR documentation built on Nov. 5, 2025, 7:42 p.m.