R/subset_data.R
create_window_data.Rd
This function creates a single collapsed data frame for easy analysis with a t-test or anova, per condition. By comparison create_time_windows allows dividing it into multiple windows per time.
create_window_data(data, pupil)
a PupillometryR dataframe
column name denoting pupil data to be used
a Pupil_window_data dataframe
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)
#> Baselining for each subject and trial. If this is not the intended behaviour you may wish to do this manually.
window <- create_window_data(data = base_data, pupil = mean_pupil)
p <- plot(window, pupil = mean_pupil, windows = FALSE, geom = 'boxplot')
p