Prepare data for pre-processing in PupillometryR — make_pupillometryr

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)

Arguments

data: 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.
subject: column name indicating subject ID
trial: column name indicating trial ID. This should be unique for participants
time: column name indicating time column (should be numeric)
condition: column name indicating experimental condition
other: any other column you may wish to keep in the data frame for processing

Value

A dataframe ready to use in PupillometryR

Examples

Sdata <- make_pupillometryr_data(data = pupil_data,
subject = ID,
trial = Trial,
time = Time,
condition = Type)