This should be the first function you run as part of using PupillometryR. This will make sure your data is in the right format for processing. This package is designed to deal with data at it comes out of the eyetracker in a long-form csv style format. Thus data input here would be a long dataframe, wherein each row is a single frame collected by the eyetracker.
make_pupillometryr_data(data, subject, trial, time, condition, other)
a raw, long form dataframe organised by subject, trial, and time. if your data is not long form, look at tidyr for examples of conversion.
column name indicating subject ID
column name indicating trial ID. This should be unique for participants
column name indicating time column (should be numeric)
column name indicating experimental condition
any other column you may wish to keep in the data frame for processing
A dataframe ready to use in PupillometryR
Sdata <- make_pupillometryr_data(data = pupil_data, subject = ID, trial = Trial, time = Time, condition = Type)