make_pupillometryr_data {PupillometryR} | R Documentation |
Prepare data for pre-processing in PupillometryR
Description
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.
Usage
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)