regress_data: Regress one pupil against another for extra smoothing

In PupillometryR: A Unified Pipeline for Pupillometry Data

Regress one pupil against another for extra smoothing

Description

regress_data runs a simple linear regression of pupil1 against pupil2 and the reverse. This can help to account for small amount of bumpiness in the data. The regression runs over each participant and each trial, per time.

Usage

regress_data(data, pupil1, pupil2)

Arguments

data	a PupillometryR dataframe
pupil1	Column name for first pupil data
pupil2	Column name for second pupil data

Value

a PupillometryR dataframe with smoothed pupil values

Examples

Sdata <- make_pupillometryr_data(data = pupil_data,
subject = ID,
trial = Trial,
time = Time,
condition = Type)
regressed_data <- regress_data(data = Sdata,
pupil1 = RPupil,
pupil2 = LPupil)
mean_data <- calculate_mean_pupil_size(data = regressed_data,
pupil1 = RPupil, pupil2 = LPupil)

PupillometryR documentation built on Sept. 15, 2023, 5:13 p.m.