These two type of data are usually separate and sometimes must be merged to create one single file with both eyetracking and experimental details (e.g., conditions), unless you have specified this via code in the experiment builder. This function is written with OpenSesame-like csv files in mind, though compatibility with other programs (e.g., e-prime) may be achieved provided that files are converted to the csv format. This is optimized for Windows machines - you may encounter address errors in Macs.
Usage
read_eyelink(
ID,
keep_events = NULL,
path = getwd(),
start_behavior = "subject-",
start_eyelink = "sub_",
separate_behavioral = TRUE,
import_all = T
)Arguments
- ID
An integer corresponding to one participant's ID. This is attached to the current path in order to locate the two files to read. Also, One variable named p_ID is attached to both ET and BD files. If a vector is supplied, files are read with
lapplyand then merged.- keep_events
A character vector specifying the events that should be kept. This is an hard assumption that experimental phases are recorded as messages in the events$messages slot returned by 'eyelinkReader::read_edf()'.
- path
Defaults to
getwd()but can be specified to be otherwise. Files will be searched for starting from this location.- start_behavior
A string, it defaults to
"subject-". Usually all files start with this string, regardless of their nature. Usually names are built by concatenatingpath,start_filename,ID,.csv.- start_eyelink
A string, it defaults to
"subject-". Usually all files start with this string, regardless of their nature. Usually names are built by concatenatingpath,start_eyelink,ID,.edf.- separate_behavioral
defaults to
TRUE. IfFALSE, it only reads eye-tracking data- import_all
If TRUE (the default) import the blink and fixation data as computed by the eyelink.