baseline_correction_pupil: Performs linear (substraction) or divisive baseline...
In jgeller112/gazer: Tools for Processing Eye Tracking Data

Performs linear (substraction) or divisive baseline correction relative to desired stim_onset and off_set

1 2	baseline_correction_pupil(datafile, pupil_colnames = NULL, baseline_window = NA, baseline_method = "sub")

`datafile`	raw pupil data
`baseline_window`	user-specified threshold for baseline window.
`pupil_colname`	name of your pupil colname you want baseline corrected
`baseline`	correction method. Default is sub but can also include divisive

data frame containing baseline corrected data from event of interest

jgeller112/gazer documentation built on Jan. 13, 2020, 1:04 p.m.

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