postprocess: Postprocess Gaze Data Classification
In maltelueken/gazeHMM: Classify Gaze Data With a Hidden Markov Model

Applies a postprocessing routine to classified gaze data as part of gazeHMM. Relabels samples that violate constraints and computes eye movement event metrics.

1	postprocess(data, state, fr, min.sac = 0.01)

`data`	Data frame with preprocessed gaze samples as returned by `preprocess`. The object must contain the variables `t`, `vel`, `acc`, and `angle`.
`state`	Vector of state labels for each sample as returned by `HMM_classify`.
`fr`	Sampling rate of the eye-tracker (in Hz).
`min.sac`	Minimum saccade duration (in s).

A list with two objects: The preprocessed data with postprocessed sample labels and a list with data frames for each classified event containing the event metrics (e.g., fixation duration).

maltelueken/gazeHMM documentation built on Oct. 6, 2020, 11:10 a.m.