create_time_windows: Make PupillometryR dataframe into multiple time windows for...

In PupillometryR: A Unified Pipeline for Pupillometry Data

Make PupillometryR dataframe into multiple time windows for easy analysis

Description

This function creates a single collapsed data frame for easy analysis with an anova or model, per condition. By comparison create_window_data allows collapsing all into a single time window.

Usage

create_time_windows(data, pupil, breaks)

Arguments

data	a PupillometryR dataframe
pupil	column name denoting pupil data to be used
breaks	a vector or numbers indicating start times for each window

Value

a Pupil_window_data dataframe

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)
base_data <- baseline_data(data = mean_data, pupil = mean_pupil, start = 0, stop = 100)
time_window <- create_time_windows(data = base_data, pupil = mean_pupil,
breaks = c(1000, 2000))

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