You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
There is a need for more precise data quality measures to be extracted from a data frame of raw data. This should include such measures as:
proportion of data loss: proportion of missing values, proportion of pupil loss both for individual trials and globally per participant
proportion of unclassified gaze events (neither saccades, nor fixations)
average ratio of samples on non-AOIs vs. on AOIs over all sessions
These measures will be saved as a csv file and used by Filter Interface and EyeStore
Description of a solution
A function will be added to gaze (probably) that takes a data frame calculates the relevant measures.
The function will return a dictionary of measure names and values.
Maybe it'll save it as a csv file
Minimum acceptance criteria
Since the measures involving AOIs cannot be implemented before AOIs are properly extracted, I think maybe it would make sense to close the ticket once we have the proportion of data loss measured.
The text was updated successfully, but these errors were encountered:
Description of the problem
There is a need for more precise data quality measures to be extracted from a data frame of raw data. This should include such measures as:
These measures will be saved as a csv file and used by Filter Interface and EyeStore
Description of a solution
Minimum acceptance criteria
Since the measures involving AOIs cannot be implemented before AOIs are properly extracted, I think maybe it would make sense to close the ticket once we have the proportion of data loss measured.
The text was updated successfully, but these errors were encountered: