Description Usage Arguments Value
Application of the the DBSCAN clustering algorithm for eye tracking data.
1 | gazeClusters(dat, eps, minPts = 5, recRate = NULL)
|
dat |
A data frame or a matrix with three columns named: X, Y, time. |
eps |
Size (radius) of the epsilon neighborhood. |
minPts |
Number of minimum points required in the eps neighborhood for core points (including the point itself). The default value is 5 points. |
recRate |
Time in ms between each eye-tracking recording. For instance 1 means 1 ms between two observations or a recording frequency of 1000 Hz. |
Provides a numeric vector indicating wheather an eye-tracking recording belongs to an eye-movement or to a fixation. zero 0 means that the recording belongs to an eye-movement. Any other positive number indicates a fixation ID. In addition, this function also returns a vector of the fixations IDs and their durations.
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