Package: ETDQualitizer 1.1.0
ETDQualitizer: Automated Eye Tracking Data Quality Determination for Screen-Based Eye Trackers
Compute common data quality metrics for accuracy, precision and data loss for screen-based eye trackers. The package supports gaze input in screen pixels or degrees and reports angular measures in degrees where appropriate. If you use this package, please cite Niehorster, D.C., Nyström, M., Hessels, R.S., Benjamins, J.S., Andersson, R., and Hooge, I.T.C. (2026). The fundamentals of eye tracking, Part 7: Determining data quality. Behavior Research Methods. <doi:10.3758/s13428-026-03039-4>.
Authors:
ETDQualitizer_1.1.0.tar.gz
ETDQualitizer_1.1.0.zip(r-4.7)ETDQualitizer_1.1.0.zip(r-4.6)ETDQualitizer_1.1.0.zip(r-4.5)
ETDQualitizer_1.1.0.tgz(r-4.6-any)ETDQualitizer_1.1.0.tgz(r-4.5-any)
ETDQualitizer_1.1.0.tar.gz(r-4.7-any)ETDQualitizer_1.1.0.tar.gz(r-4.6-any)
ETDQualitizer_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ETDQualitizer/json (API)
| # Install 'ETDQualitizer' in R: |
| install.packages('ETDQualitizer', repos = c('https://dcnieho.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dcnieho/etdqualitizer/issues
Last updated from:32b77e89a5. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 168 | ||
| source / vignettes | OK | 160 | ||
| linux-release-x86_64 | OK | 118 | ||
| macos-release-arm64 | OK | 159 | ||
| macos-oldrel-arm64 | OK | 134 | ||
| windows-devel | OK | 88 | ||
| windows-release | OK | 67 | ||
| windows-oldrel | OK | 72 | ||
| wasm-release | OK | 107 |
Exports:accuracybceacompute_data_quality_from_validationdata_loss_from_expecteddata_loss_from_invalidDataQualityeffective_frequencyETDQ_versionFick_to_vectorprecision_using_moving_windowreport_data_quality_tablerms_s2sScreenConfigurationstdvector_to_Fick
Dependencies:R6
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute Gaze Accuracy | accuracy |
| Bivariate Contour Ellipse Area (BCEA) | bcea |
| Compute Data Quality Metrics from Validation Data | compute_data_quality_from_validation |
| Compute Data Loss from Expected Sample Count | data_loss_from_expected |
| Compute Data Loss from number of invalid samples. | data_loss_from_invalid |
| R6 class for calculating Data Quality from a gaze data segment | DataQuality |
| Compute Effective Sampling Frequency | effective_frequency |
| Get ETDQualitizer Version | ETDQ_version |
| Convert Fick Angles to 3D Vector | Fick_to_vector |
| Precision Using Moving Window | precision_using_moving_window |
| Summarize and Report Data Quality Metrics | report_data_quality_table |
| RMS of Sample-to-Sample Differences | rms_s2s |
| R6 Screen Configuration Class | ScreenConfiguration |
| Standard Deviation of Gaze Samples | std |
| Convert 3D Vector to Fick Angles | vector_to_Fick |
