Showing 5 of total 5 results (show query)
a-hurst
eyelinker:Import ASC Files from EyeLink Eye Trackers
Imports plain-text ASC data files from EyeLink eye trackers into (relatively) tidy data frames for analysis and visualization.
Maintained by Austin Hurst. Last updated 4 years ago.
63.5 match 7 stars 5.45 score 20 scripts
alexander-pastukhov
eyelinkReader:Import Gaze Data for EyeLink Eye Tracker
Import gaze data from edf files generated by the SR Research <https://www.sr-research.com/> EyeLink eye tracker. Gaze data, both recorded events and samples, is imported per trial. The package allows to extract events of interest, such as saccades, blinks, etc. as well as recorded variables and custom events (areas of interest, triggers) into separate tables. The package requires EDF API library that can be obtained at <https://www.sr-research.com/support/>.
Maintained by Alexander Pastukhov. Last updated 3 months ago.
edfeye-trackingeyelinksr-researchcpp
18.9 match 13 stars 6.52 score 34 scripts
akkyro
PupilPre:Preprocessing Pupil Size Data
Pupillometric data collected using SR Research Eyelink eye trackers requires significant preprocessing. This package contains functions for preparing pupil dilation data for visualization and statistical analysis. Specifically, it provides a pipeline of functions which aid in data validation, the removal of blinks/artifacts, downsampling, and baselining, among others. Additionally, plotting functions for creating grand average and conditional average plots are provided. See the vignette for samples of the functionality. The package is designed for handling data collected with SR Research Eyelink eye trackers using Sample Reports created in SR Research Data Viewer.
Maintained by Aki-Juhani Kyröläinen. Last updated 5 years ago.
2.6 match 2.81 score 13 scripts
vincentporretta
VWPre:Tools for Preprocessing Visual World Data
Gaze data from the Visual World Paradigm requires significant preprocessing prior to plotting and analyzing the data. This package provides functions for preparing visual world eye-tracking data for statistical analysis and plotting. It can prepare data for linear analyses (e.g., ANOVA, Gaussian-family LMER, Gaussian-family GAMM) as well as logistic analyses (e.g., binomial-family LMER and binomial-family GAMM). Additionally, it contains various plotting functions for creating grand average and conditional average plots. See the vignette for samples of the functionality. Currently, the functions in this package are designed for handling data collected with SR Research Eyelink eye trackers using Sample Reports created in SR Research Data Viewer. While we would like to add functionality for data collected with other systems in the future, the current package is considered to be feature-complete; further updates will mainly entail maintenance and the addition of minor functionality.
Maintained by Vincent Porretta. Last updated 4 years ago.
0.5 match 4.28 score 80 scripts 1 dependents
cran
eyeTrackR:Organising and Analysing Eye-Tracking Data
A set of functions for organising and analysing datasets from experiments run using 'Eyelink' eye-trackers. Organising functions help to clean and prepare eye-tracking datasets for analysis, and mark up key events such as display changes and responses made by participants. Analysing functions help to create means for a wide range of standard measures (such as 'mean fixation durations'), which can then be fed into the appropriate statistical analyses and graphing packages as necessary.
Maintained by Hayward Godwin. Last updated 5 years ago.
0.5 match 1.00 score