calculate_missing_data {PupillometryR} | R Documentation |
Calculate the missing data amount
Description
This function can be used to assess the amount of samples that have problematic data from each trial, which helps assess cleaning parameters
Usage
calculate_missing_data(data, pupil)
Arguments
data |
your data of class PupillometryR |
pupil |
a column name denoting pupil size |
Value
A summary table with number of missing samples in each trial
Examples
data(pupil_data)
Sdata <- make_pupillometryr_data(data = pupil_data,
subject = ID,
trial = Trial,
time = Time,
condition = Type)
new_data <- downsample_time_data(data = Sdata,
pupil = LPupil,
timebin_size = 50,
option = 'mean')
calculate_missing_data(data = new_data, pupil = LPupil)
[Package PupillometryR version 0.0.5 Index]