R: Automated Eye Tracking Data Quality Determination for Screen-Based Eye Trackers

# Automated Eye Tracking Data Quality Determination for Screen-Based Eye Trackers

## Documentation for package ‘ETDQualitizer’ version 1.1.0

- DESCRIPTION file.

## Help Pages

accuracy | Compute Gaze Accuracy
bcea | Bivariate Contour Ellipse Area (BCEA)
compute_data_quality_from_validation | Compute Data Quality Metrics from Validation Data
DataQuality | R6 class for calculating Data Quality from a gaze data segment
data_loss_from_expected | Compute Data Loss from Expected Sample Count
data_loss_from_invalid | Compute Data Loss from number of invalid samples.
effective_frequency | Compute Effective Sampling Frequency
ETDQ_version | Get ETDQualitizer Version
Fick_to_vector | Convert Fick Angles to 3D Vector
precision_using_moving_window | Precision Using Moving Window
report_data_quality_table | Summarize and Report Data Quality Metrics
rms_s2s | RMS of Sample-to-Sample Differences
ScreenConfiguration | R6 Screen Configuration Class
std | Standard Deviation of Gaze Samples
vector_to_Fick | Convert 3D Vector to Fick Angles